-
Loia, V.; Pedrycz, W.; Senatore, S.; Sessa, M.I.: Web navigation support by means of proximity-driven assistant agents (2006)
0.02
0.015017465 = product of:
0.040046573 = sum of:
0.013709677 = weight(_text_:information in 5283) [ClassicSimilarity], result of:
0.013709677 = score(doc=5283,freq=10.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.21684799 = fieldWeight in 5283, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=5283)
0.018204464 = weight(_text_:retrieval in 5283) [ClassicSimilarity], result of:
0.018204464 = score(doc=5283,freq=2.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.16710453 = fieldWeight in 5283, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=5283)
0.00813243 = product of:
0.024397288 = sum of:
0.024397288 = weight(_text_:22 in 5283) [ClassicSimilarity], result of:
0.024397288 = score(doc=5283,freq=2.0), product of:
0.12611638 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036014426 = queryNorm
0.19345059 = fieldWeight in 5283, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=5283)
0.33333334 = coord(1/3)
0.375 = coord(3/8)
- Abstract
- The explosive growth of the Web and the consequent exigency of the Web personalization domain have gained a key position in the direction of customization of the Web information to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user's navigational behavior (usage data) in correlation with other information collected in the Web context, namely, structure, content, and user profile data. This work presents an agent-based framework designed to help a user in achieving personalized navigation, by recommending related documents according to the user's responses in similar-pages searching mode. Our agent-based approach is grounded in the integration of different techniques and methodologies into a unique platform featuring user profiling, fuzzy multisets, proximity-oriented fuzzy clustering, and knowledge-based discovery technologies. Each of these methodologies serves to solve one facet of the general problem (discovering documents relevant to the user by searching the Web) and is treated by specialized agents that ultimately achieve the final functionality through cooperation and task distribution.
- Date
- 22. 7.2006 16:59:13
- Footnote
- Beitrag in einer Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.515-527
-
Moukdad, H.; Large, A.: Information retrieval from full-text arabic databases : can search engines designed for English do the job? (2001)
0.01
0.014601371 = product of:
0.058405485 = sum of:
0.014714771 = weight(_text_:information in 6142) [ClassicSimilarity], result of:
0.014714771 = score(doc=6142,freq=2.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.23274569 = fieldWeight in 6142, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.09375 = fieldNorm(doc=6142)
0.043690715 = weight(_text_:retrieval in 6142) [ClassicSimilarity], result of:
0.043690715 = score(doc=6142,freq=2.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.40105087 = fieldWeight in 6142, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.09375 = fieldNorm(doc=6142)
0.25 = coord(2/8)
-
Martinez Méndez, F.J.: Aproximacion general a la evaluacion de la recuperacion mediante motores de busqueda en Internet (2001)
0.01
0.014601371 = product of:
0.058405485 = sum of:
0.014714771 = weight(_text_:information in 3803) [ClassicSimilarity], result of:
0.014714771 = score(doc=3803,freq=2.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.23274569 = fieldWeight in 3803, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.09375 = fieldNorm(doc=3803)
0.043690715 = weight(_text_:retrieval in 3803) [ClassicSimilarity], result of:
0.043690715 = score(doc=3803,freq=2.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.40105087 = fieldWeight in 3803, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.09375 = fieldNorm(doc=3803)
0.25 = coord(2/8)
- Footnote
- Übers. des Titels: A general approach for the evaluation of the information retrieval capabilities of search engines
-
Lewandowski, D.: Web Information Retrieval (2005)
0.01
0.013976692 = product of:
0.05590677 = sum of:
0.01471477 = weight(_text_:information in 4028) [ClassicSimilarity], result of:
0.01471477 = score(doc=4028,freq=18.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.23274568 = fieldWeight in 4028, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.03125 = fieldNorm(doc=4028)
0.041192 = weight(_text_:retrieval in 4028) [ClassicSimilarity], result of:
0.041192 = score(doc=4028,freq=16.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.37811437 = fieldWeight in 4028, product of:
4.0 = tf(freq=16.0), with freq of:
16.0 = termFreq=16.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.03125 = fieldNorm(doc=4028)
0.25 = coord(2/8)
- Abstract
- WebInformationRetrieval hat sich als gesonderter Forschungsbereich herausgebildet. Neben den im klassischen Information Retrieval behandelten Fragen ergeben sich durch die Eigenheiten des Web neue und zusätzliche Forschungsfragen. Die Unterschiede zwischen Information Retrieval und Web Information Retrieval werden diskutiert. Derzweite Teil des Aufsatzes gibt einen Überblick über die Forschungsliteratur der letzten zwei Jahre. Dieser Aufsatz gibt einen Überblick über den Stand der Forschung im Bereich Web Information Retrieval. Im ersten Teil werden die besonderen Probleme, die sich in diesem Bereich ergeben, anhand einer Gegenüberstellung mit dem "klassischen" Information Retrieval erläutert. Der weitere Text diskutiert die wichtigste in den letzten Jahren erschienene Literatur zum Thema, wobei ein Schwerpunkt auf die - so vorhanden-deutschsprachige Literatur gelegt wird. Der Schwerpunkt liegt auf Literatur aus den Jahren 2003 und 2004. Zum einen zeigt sich in dem betrachteten Forschungsfeld eine schnelle Entwicklung, so dass viele ältere Untersuchungen nur noch einen historischen bzw. methodischen Wert haben; andererseits existieren umfassende ältere Reviewartikel (s. v.a. Rasmussen 2003). Schon bei der Durchsicht der Literatur wird allerdings deutlich, dass zu einigen Themenfeldern keine oder nur wenig deutschsprachige Literatur vorhanden ist. Leider ist dies aber nicht nur darauf zurückzuführen, dass die Autoren aus den deutschsprachigen Ländern ihre Ergebnisse in englischer Sprache publizieren. Vielmehr wird deutlich, dass in diesen Ländern nur wenig Forschung im Suchmaschinen-Bereich stattfindet. Insbesondere zu sprachspezifischen Problemen von Web-Suchmaschinen fehlen Untersuchungen. Ein weiteres Problem der Forschung im Suchmaschinen-Bereich liegt in der Tatsache begründet, dass diese zu einem großen Teil innerhalb von Unternehmen stattfindet, welche sich scheuen, die Ergebnisse in großem Umfang zu publizieren, da sie fürchten, die Konkurrenz könnte von solchen Veröffentlichungen profitieren. So finden sich etwa auch Vergleichszahlen über einzelne Suchmaschinen oft nur innerhalb von Vorträgen oder Präsentationen von Firmenvertretern (z.B. Singhal 2004; Dean 2004). Das Hauptaugenmerk dieses Artikels liegt auf der Frage, inwieweit Suchmaschinen in der Lage sind, die im Web vorhanden Inhalte zu indexieren, mit welchen Methoden sie dies tun und ob bzw. wie sie ihre Ziele erreichen. Ausgenommen bleiben damit explizit Fragen der Effizienz bei der Erschließung des Web und der Skalierbarkeit von Suchmaschinen. Anders formuliert: Diese Übersicht orientiert sich an klassisch informationswissenschaftlichen Fragen und spart die eher im Bereich der Informatik diskutierten Fragen weitgehend aus.
Eine regelmäßige Übersicht neuer US-Patente und US-Patentanmeldungen im Bereich Information Retrieval bietet die News-Seite Resourceshelf (www.resourceshelf.com).
- Content
- Mit einer Tabelle, die eine Gegenüberstellung des WebRetrieval zum 'klassischen' Information Retrieval anbietet
- Source
- Information - Wissenschaft und Praxis. 56(2005) H.1, S.5-12
-
Place, E.: International collaboration on Internet subject gateways (2000)
0.01
0.013858636 = product of:
0.036956362 = sum of:
0.010619472 = weight(_text_:information in 4584) [ClassicSimilarity], result of:
0.010619472 = score(doc=4584,freq=6.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.16796975 = fieldWeight in 4584, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=4584)
0.018204464 = weight(_text_:retrieval in 4584) [ClassicSimilarity], result of:
0.018204464 = score(doc=4584,freq=2.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.16710453 = fieldWeight in 4584, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=4584)
0.00813243 = product of:
0.024397288 = sum of:
0.024397288 = weight(_text_:22 in 4584) [ClassicSimilarity], result of:
0.024397288 = score(doc=4584,freq=2.0), product of:
0.12611638 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036014426 = queryNorm
0.19345059 = fieldWeight in 4584, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=4584)
0.33333334 = coord(1/3)
0.375 = coord(3/8)
- Abstract
- Eine ganze Anzahl von Bibliotheken in Europa befaßt sich mit der Entwicklung von Internet Subject Gateways - einer Serviceleistung, die den Nutzern helfen soll, qualitativ hochwertige Internetquellen zu finden. Subject Gateways wie SOSIG (The Social Science Information Gateway) sind bereits seit einigen Jahren im Internet verfügbar und stellen eine Alternative zu Internet-Suchmaschinen wie AltaVista und Verzeichnissen wie Yahoo dar. Bezeichnenderweise stützen sich Subject Gateways auf die Fertigkeiten, Verfahrensweisen und Standards der internationalen Bibliothekswelt und wenden diese auf Informationen aus dem Internet an. Dieses Referat will daher betonen, daß Bibliothekare/innen idealerweise eine vorherrschende Rolle im Aufbau von Suchservices für Internetquellen spielen und daß Information Gateways eine Möglichkeit dafür darstellen. Es wird einige der Subject Gateway-Initiativen in Europa umreißen und die Werkzeuge und Technologien beschreiben, die vom Projekt DESIRE entwickelt wurden, um die Entwicklung neuer Gateways in anderen Ländern zu unterstützen. Es wird auch erörtert, wie IMesh, eine Gruppe für Gateways aus der ganzen Welt eine internationale Strategie für Gateways anstrebt und versucht, Standards zur Umsetzung dieses Projekts zu entwickeln
- Date
- 22. 6.2002 19:35:35
- Theme
- Information Gateway
Klassifikationssysteme im Online-Retrieval
-
Castillo, C.; Baeza-Yates, R.: Web retrieval and mining (2009)
0.01
0.013809137 = product of:
0.05523655 = sum of:
0.01919355 = weight(_text_:information in 3904) [ClassicSimilarity], result of:
0.01919355 = score(doc=3904,freq=10.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.3035872 = fieldWeight in 3904, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0546875 = fieldNorm(doc=3904)
0.036043 = weight(_text_:retrieval in 3904) [ClassicSimilarity], result of:
0.036043 = score(doc=3904,freq=4.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.33085006 = fieldWeight in 3904, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0546875 = fieldNorm(doc=3904)
0.25 = coord(2/8)
- Abstract
- The advent of the Web in the mid-1990s followed by its fast adoption in a relatively short time, posed significant challenges to classical information retrieval methods developed in the 1970s and the 1980s. The major challenges include that the Web is massive, dynamic, and distributed. The two main types of tasks that are carried on the Web are searching and mining. Searching is locating information given an information need, and mining is extracting information and/or knowledge from a corpus. The metrics for success when carrying these tasks on the Web include precision, recall (completeness), freshness, and efficiency.
- Source
- Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
-
Ding, Y.; Chowdhury, G.; Foo, S.: Organsising keywords in a Web search environment : a methodology based on co-word analysis (2000)
0.01
0.013572222 = product of:
0.054288886 = sum of:
0.016451614 = weight(_text_:information in 105) [ClassicSimilarity], result of:
0.016451614 = score(doc=105,freq=10.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.2602176 = fieldWeight in 105, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=105)
0.03783727 = weight(_text_:retrieval in 105) [ClassicSimilarity], result of:
0.03783727 = score(doc=105,freq=6.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.34732026 = fieldWeight in 105, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=105)
0.25 = coord(2/8)
- Abstract
- The rapid development of the Internet and World Wide Web has caused some critical problem for information retrieval. Researchers have made several attempts to solve these problems. Thesauri and subject heading lists as traditional information retrieval tools have been criticised for their efficiency to tackle these newly emerging problems. This paper proposes an information retrieval tool generated by cocitation analysis, comprising keyword clusters with relationships based on the co-occurrences of keywords in the literature. Such a tool can play the role of an associative thesaurus that can provide information about the keywords in a domain that might be useful for information searching and query expansion
-
Röhle, T.: Machtkonzepte in der Suchmaschinenforschung (2007)
0.01
0.01347788 = product of:
0.035941012 = sum of:
0.0061311545 = weight(_text_:information in 388) [ClassicSimilarity], result of:
0.0061311545 = score(doc=388,freq=2.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.09697737 = fieldWeight in 388, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=388)
0.018204464 = weight(_text_:retrieval in 388) [ClassicSimilarity], result of:
0.018204464 = score(doc=388,freq=2.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.16710453 = fieldWeight in 388, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=388)
0.011605391 = product of:
0.034816172 = sum of:
0.034816172 = weight(_text_:29 in 388) [ClassicSimilarity], result of:
0.034816172 = score(doc=388,freq=4.0), product of:
0.1266875 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.036014426 = queryNorm
0.2748193 = fieldWeight in 388, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0390625 = fieldNorm(doc=388)
0.33333334 = coord(1/3)
0.375 = coord(3/8)
- Abstract
- Suchmaschinen und Macht - nicht nur in der Wissenschaft, sondern auch in der Presse werden diese Begriffe immer häufiger in einem Atemzug genannt. Angesichts Googles Dominanz des Suchmaschinenmarkts mehren sich Bedenken über Monopolbildung, Datenschutz, Zensur und Manipulation, die sich in Artikeln mit so illustrativen Überschriften wie »Der Datenkrake«, »Das Imperium« oder »The Evil Thing« äußern. Die Verbindung zwischen Suchmaschinen und Macht erschließt sich intuitiv ohne Weiteres: »Sie lenken die Aufmerksamkeit der Nutzer und haben damit Macht«. Die Frage aber, wie sich diese Macht genauer konzeptualisieren und verorten lässt und inwiefern frühere Vorstellungen von Medienmacht und Medieneffekten in diesem neuen Feld relevant sind, ist in der Suchmaschinenforschung bisher nur sehr schematisch beantwortet worden. Ein grundlegendes Problem ist darin zu sehen, dass Suchmaschinen eine in vielen Aspekten neue und machttheoretisch ungeklärte Nutzungssituation schaffen. Technikhistorisch lassen sich Suchmaschinen zwar eindeutig als Nachfolger früherer Information-Retrieval-Systeme einordnen. Da diese jedoch hauptsächlich von kompetenten Nutzern für spezifische Recherchen in homogenen und vollständigen Datenbeständen eingesetzt wurden, kam der Frage der Macht hier keine größere Bedeutung zu. Völlig anders stellt sich die Situation bei den Suchmaschinen dar: Als integraler Bestandteil der Internetnutzung betreffen ihre Relevanzkriterien einen wesentlich größeren Kreis von Nutzern, die mit sehr unterschiedlichen Motivationen eine Auswahl des Datenbestands durchsuchen.
- Date
- 13. 5.2007 10:29:29
-
Lee, H.-L.; Olson, H.A.: Hierarchical navigation : an exploration of Yahoo! directories (2005)
0.01
0.01313801 = product of:
0.05255204 = sum of:
0.014714771 = weight(_text_:information in 3991) [ClassicSimilarity], result of:
0.014714771 = score(doc=3991,freq=8.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.23274569 = fieldWeight in 3991, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=3991)
0.03783727 = weight(_text_:retrieval in 3991) [ClassicSimilarity], result of:
0.03783727 = score(doc=3991,freq=6.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.34732026 = fieldWeight in 3991, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=3991)
0.25 = coord(2/8)
- Abstract
- Although researchers have theorized the critical importance of classification in the organization of information, the classification approach seems to have given way to the alphabetical subject approach in retrieval tools widely used in libraries, and research an how users utilize classification or classification-like arrangements in information seeking has been scant. To better understand whether searchers consider classificatory structures a viable alternative to information retrieval, this article reports an a study of how 24 library and information science students used Yahoo! directories, a popular search service resembling classification, in completing an assigned simple task. Several issues emerged from the students' reporting of their search process and a comparison between hierarchical navigation and keyword searching: citation order of facets, precision vs. recall, and other factors influencing searchers' successes and preferences. The latter included search expertise, knowledge of the discipline, and time required to complete the search. Without a definitive conclusion, we suggest a number of directoons for further research.
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Landoni, M.; Bell, S.: Information retrieval techniques for evaluating search engines : a critical overview (2000)
0.01
0.01313801 = product of:
0.05255204 = sum of:
0.014714771 = weight(_text_:information in 716) [ClassicSimilarity], result of:
0.014714771 = score(doc=716,freq=8.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.23274569 = fieldWeight in 716, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=716)
0.03783727 = weight(_text_:retrieval in 716) [ClassicSimilarity], result of:
0.03783727 = score(doc=716,freq=6.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.34732026 = fieldWeight in 716, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=716)
0.25 = coord(2/8)
- Abstract
- The objective of this paper is to highlight the importance of a scientifically sounded approach to search engine evaluation. Nowadays there is a flourishing literature which describes various attempts at conducting such evaluation by following all sort of approaches, but very often only the final results are published with little, if any, information about the methodology and the procedures adopted. These various experiments have been critically investigated and catalogued according to their scientific foundation by Bell [1] in the attempt to provide a valuable framework for future studies in this area. This paper reconsiders some of Bell's ideas in the light of the crisis of classic evaluation techniques for information retrieval and tries to envisage some form of collaboration between the IR and web communities in order to design a better and more consistent platform for the evaluation of tools for interactive information retrieval.
-
Markey, K.: Twenty-five years of end-user searching : part 1: research findings (2007)
0.01
0.0128567815 = product of:
0.051427126 = sum of:
0.0150182 = weight(_text_:information in 5163) [ClassicSimilarity], result of:
0.0150182 = score(doc=5163,freq=12.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.23754507 = fieldWeight in 5163, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=5163)
0.036408927 = weight(_text_:retrieval in 5163) [ClassicSimilarity], result of:
0.036408927 = score(doc=5163,freq=8.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.33420905 = fieldWeight in 5163, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=5163)
0.25 = coord(2/8)
- Abstract
- This is the first part of a two-part article that reviews 25 years of published research findings on end-user searching in online information retrieval (IR) systems. In Part 1 (Markey, 2007), the author seeks to answer the following questions: What characterizes the queries that end users submit to online IR systems? What search features do people use? What features would enable them to improve on the retrievals they have in hand? What features are hardly ever used? What do end users do in response to the system's retrievals? Are end users satisfied with their online searches? Summarizing searches of online IR systems by the search features people use everyday makes information retrieval appear to be a very simplistic one-stop event. In Part 2, the author examines current models of the information retrieval process, demonstrating that information retrieval is much more complex and involves changes in cognition, feelings, and/or events during the information seeking process. She poses a host of new research questions that will further our understanding about end-user searching of online IR systems.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1071-1081
-
Vaughan, L.: New measurements for search engine evaluation proposed and tested (2004)
0.01
0.012727565 = product of:
0.05091026 = sum of:
0.01486726 = weight(_text_:information in 2535) [ClassicSimilarity], result of:
0.01486726 = score(doc=2535,freq=6.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.23515764 = fieldWeight in 2535, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0546875 = fieldNorm(doc=2535)
0.036043 = weight(_text_:retrieval in 2535) [ClassicSimilarity], result of:
0.036043 = score(doc=2535,freq=4.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.33085006 = fieldWeight in 2535, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0546875 = fieldNorm(doc=2535)
0.25 = coord(2/8)
- Abstract
- A set of measurements is proposed for evaluating Web search engine performance. Some measurements are adapted from the concepts of recall and precision, which are commonly used in evaluating traditional information retrieval systems. Others are newly developed to evaluate search engine stability, an issue unique to Web information retrieval systems. An experiment was conducted to test these new measurements by applying them to a performance comparison of three commercial search engines: Google, AltaVista, and Teoma. Twenty-four subjects ranked four sets of Web pages and their rankings were used as benchmarks against which to compare search engine performance. Results show that the proposed measurements are able to distinguish search engine performance very well.
- Source
- Information processing and management. 40(2004) no.4, S.677-691
-
Agosti, M.; Pretto, L.: ¬A theoretical study of a generalized version of kleinberg's HITS algorithm (2005)
0.01
0.012203202 = product of:
0.03254187 = sum of:
0.0061311545 = weight(_text_:information in 4) [ClassicSimilarity], result of:
0.0061311545 = score(doc=4,freq=2.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.09697737 = fieldWeight in 4, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=4)
0.018204464 = weight(_text_:retrieval in 4) [ClassicSimilarity], result of:
0.018204464 = score(doc=4,freq=2.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.16710453 = fieldWeight in 4, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=4)
0.008206251 = product of:
0.024618752 = sum of:
0.024618752 = weight(_text_:29 in 4) [ClassicSimilarity], result of:
0.024618752 = score(doc=4,freq=2.0), product of:
0.1266875 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.036014426 = queryNorm
0.19432661 = fieldWeight in 4, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0390625 = fieldNorm(doc=4)
0.33333334 = coord(1/3)
0.375 = coord(3/8)
- Date
- 31.12.1996 19:29:41
- Source
- Advances in mathematical/formal methods in information retrieval. 8(2005) no.2 , S.219-243
-
Stacey, Alison; Stacey, Adrian: Effective information retrieval from the Internet : an advanced user's guide (2004)
0.01
0.012186709 = product of:
0.048746835 = sum of:
0.019619694 = weight(_text_:information in 4497) [ClassicSimilarity], result of:
0.019619694 = score(doc=4497,freq=32.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.3103276 = fieldWeight in 4497, product of:
5.656854 = tf(freq=32.0), with freq of:
32.0 = termFreq=32.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.03125 = fieldNorm(doc=4497)
0.029127141 = weight(_text_:retrieval in 4497) [ClassicSimilarity], result of:
0.029127141 = score(doc=4497,freq=8.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.26736724 = fieldWeight in 4497, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.03125 = fieldNorm(doc=4497)
0.25 = coord(2/8)
- Abstract
- This book provides practical strategies which enable the advanced web user to locate information effectively and to form a precise evaluation of the accuracy of that information. Although the book provides a brief but thorough review of the technologies which are currently available for these purposes, most of the book concerns practical `future-proof' techniques which are independent of changes in the tools available. For example, the book covers: how to retrieve salient information quickly; how to remove or compensate for bias; and tuition of novice Internet users.
- Content
- Key Features - Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological `tricks'. - Enables readers to be aware of and compensate for bias and errors which are ubiquitous an the Internet. - Provides contemporary information an the deficiencies in web skills of novice users as well as practical techniques for teaching such users. The Authors Dr Alison Stacey works at the Learning Resource Centre, Cambridge Regional College. Dr Adrian Stacey, formerly based at Cambridge University, is a software programmer. Readership The book is aimed at a wide range of librarians and other information professionals who need to retrieve information from the Internet efficiently, to evaluate their confidence in the information they retrieve and/or to train others to use the Internet. It is primarily aimed at intermediate to advanced users of the Internet. Contents Fundamentals of information retrieval from the Internet - why learn web searching technique; types of information requests; patterns for information retrieval; leveraging the technology: Search term choice: pinpointing information an the web - why choose queries carefully; making search terms work together; how to pick search terms; finding the 'unfindable': Blas an the Internet - importance of bias; sources of bias; usergenerated bias: selecting information with which you already agree; assessing and compensating for bias; case studies: Query reformulation and longer term strategies - how to interact with your search engine; foraging for information; long term information retrieval: using the Internet to find trends; automating searches: how to make your machine do your work: Assessing the quality of results- how to assess and ensure quality: The novice user and teaching internet skills - novice users and their problems with the web; case study: research in a college library; interpreting 'second hand' web information.
-
Baeza-Yates, R.; Boldi, P.; Castillo, C.: Generalizing PageRank : damping functions for linkbased ranking algorithms (2006)
0.01
0.012175519 = product of:
0.03246805 = sum of:
0.0061311545 = weight(_text_:information in 2565) [ClassicSimilarity], result of:
0.0061311545 = score(doc=2565,freq=2.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.09697737 = fieldWeight in 2565, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2565)
0.018204464 = weight(_text_:retrieval in 2565) [ClassicSimilarity], result of:
0.018204464 = score(doc=2565,freq=2.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.16710453 = fieldWeight in 2565, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=2565)
0.00813243 = product of:
0.024397288 = sum of:
0.024397288 = weight(_text_:22 in 2565) [ClassicSimilarity], result of:
0.024397288 = score(doc=2565,freq=2.0), product of:
0.12611638 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036014426 = queryNorm
0.19345059 = fieldWeight in 2565, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=2565)
0.33333334 = coord(1/3)
0.375 = coord(3/8)
- Date
- 16. 1.2016 10:22:28
- Source
- http://chato.cl/papers/baeza06_general_pagerank_damping_functions_link_ranking.pdf [Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR) Conference, SIGIR'06, August 6-10, 2006, Seattle, Washington, USA]
-
Olvera Lobo, M.D.: Rendimiento de los sistemas de recuperacion de informacion en al World Wide Web : revision metodologica (2000)
0.01
0.0121678095 = product of:
0.048671238 = sum of:
0.012262309 = weight(_text_:information in 3448) [ClassicSimilarity], result of:
0.012262309 = score(doc=3448,freq=2.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.19395474 = fieldWeight in 3448, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.078125 = fieldNorm(doc=3448)
0.036408927 = weight(_text_:retrieval in 3448) [ClassicSimilarity], result of:
0.036408927 = score(doc=3448,freq=2.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.33420905 = fieldWeight in 3448, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.078125 = fieldNorm(doc=3448)
0.25 = coord(2/8)
- Footnote
- Übers. d. Titels: Methodology for evaluating information retrieval in WWW search engines
-
Belew, R.K.: Finding out about : a cognitive perspective on search engine technology and the WWW (2001)
0.01
0.011385586 = product of:
0.045542344 = sum of:
0.012977208 = weight(_text_:information in 3346) [ClassicSimilarity], result of:
0.012977208 = score(doc=3346,freq=14.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.20526241 = fieldWeight in 3346, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.03125 = fieldNorm(doc=3346)
0.032565136 = weight(_text_:retrieval in 3346) [ClassicSimilarity], result of:
0.032565136 = score(doc=3346,freq=10.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.29892567 = fieldWeight in 3346, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.03125 = fieldNorm(doc=3346)
0.25 = coord(2/8)
- Abstract
- The World Wide Web is rapidly filling with more text than anyone could have imagined even a short time ago, but the task of isolating relevant parts of this vast information has become just that much more daunting. Richard Belew brings a cognitive perspective to the study of information retrieval as a discipline within computer science. He introduces the idea of Finding Out About (FDA) as the process of actively seeking out information relevant to a topic of interest and describes its many facets - ranging from creating a good characterization of what the user seeks, to what documents actually mean, to methods of inferring semantic clues about each document, to the problem of evaluating whether our search engines are performing as we have intended. Finding Out About explains how to build the tools that are useful for searching collections of text and other media. In the process it takes a close look at the properties of textual documents that do not become clear until very large collections of them are brought together and shows that the construction of effective search engines requires knowledge of the statistical and mathematical properties of linguistic phenomena, as well as an appreciation for the cognitive foundation we bring to the task as language users. The unique approach of this book is its even handling of the phenomena of both numbers and words, making it accessible to a wide audience. The textbook is usable in both undergraduate and graduate classes on information retrieval, library science, and computational linguistics. The text is accompanied by a CD-ROM that contains a hypertext version of the book, including additional topics and notes not present in the printed edition. In addition, the CD contains the full text of C.J. "Keith" van Rijsbergen's famous textbook, Information Retrieval (now out of print). Many active links from Belew's to van Rijsbergen's hypertexts help to unite the material. Several test corpora and indexing tools are provided, to support the design of your own search engine. Additional exercises using these corpora and code are available to instructors. Also supporting this book is a Web site that will include recent additions to the book, as well as links to sites of new topics and methods.
- RSWK
- Suchmaschine / World Wide Web / Information Retrieval
- Subject
- Suchmaschine / World Wide Web / Information Retrieval
-
Markey, K.: Twenty-five years of end-user searching : part 2: future research directions (2007)
0.01
0.011310184 = product of:
0.045240737 = sum of:
0.013709677 = weight(_text_:information in 443) [ClassicSimilarity], result of:
0.013709677 = score(doc=443,freq=10.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.21684799 = fieldWeight in 443, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=443)
0.03153106 = weight(_text_:retrieval in 443) [ClassicSimilarity], result of:
0.03153106 = score(doc=443,freq=6.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.28943354 = fieldWeight in 443, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=443)
0.25 = coord(2/8)
- Abstract
- This is the second part of a two-part article that examines 25 years of published research findings on end-user searching of online information retrieval (IR) systems. In Part 1, it was learned that people enter a few short search statements into online IR systems. Their searches do not resemble the systematic approach of expert searchers who use the full range of IR-system functionality. Part 2 picks up the discussion of research findings about end-user searching in the context of current information retrieval models. These models demonstrate that information retrieval is a complex event, involving changes in cognition, feelings, and/or events during the information seeking process. The author challenges IR researchers to design new studies of end-user searching, collecting data not only on system-feature use, but on multiple search sessions and controlling for variables such as domain knowledge expertise and expert system knowledge. Because future IR systems designers are likely to improve the functionality of online IR systems in response to answers to the new research questions posed here, the author concludes with advice to these designers about retaining the simplicity of online IR system interfaces.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1123-1130
-
Mostafa, J.: Bessere Suchmaschinen für das Web (2006)
0.01
0.011016084 = product of:
0.029376224 = sum of:
0.0060072797 = weight(_text_:information in 4871) [ClassicSimilarity], result of:
0.0060072797 = score(doc=4871,freq=12.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.09501803 = fieldWeight in 4871, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.015625 = fieldNorm(doc=4871)
0.010298 = weight(_text_:retrieval in 4871) [ClassicSimilarity], result of:
0.010298 = score(doc=4871,freq=4.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.09452859 = fieldWeight in 4871, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.015625 = fieldNorm(doc=4871)
0.013070944 = product of:
0.019606415 = sum of:
0.0098475 = weight(_text_:29 in 4871) [ClassicSimilarity], result of:
0.0098475 = score(doc=4871,freq=2.0), product of:
0.1266875 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.036014426 = queryNorm
0.07773064 = fieldWeight in 4871, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.015625 = fieldNorm(doc=4871)
0.009758915 = weight(_text_:22 in 4871) [ClassicSimilarity], result of:
0.009758915 = score(doc=4871,freq=2.0), product of:
0.12611638 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036014426 = queryNorm
0.07738023 = fieldWeight in 4871, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.015625 = fieldNorm(doc=4871)
0.6666667 = coord(2/3)
0.375 = coord(3/8)
- Content
- "Seit wenigen Jahren haben Suchmaschinen die Recherche im Internet revolutioniert. Statt in Büchereien zu gehen, um dort mühsam etwas nachzuschlagen, erhalten wir die gewünschten Dokumente heute mit ein paar Tastaturanschlägen und Mausklicks. »Googeln«, nach dem Namen der weltweit dominierenden Suchmaschine, ist zum Synonym für die Online-Recherche geworden. Künftig werden verbesserte Suchmaschinen die gewünschten Informationen sogar noch zielsicherer aufspüren. Die neuen Programme dringen dazu tiefer in die Online-Materie ein. Sie sortieren und präsentieren ihre Ergebnisse besser, und zur Optimierung der Suche merken sie sich die persönlichen Präferenzen der Nutzer, die sie in vorherigen Anfragen ermittelt haben. Zudem erweitern sie den inhaltlichen Horizont, da sie mehr leisten, als nur eingetippte Schlüsselwörter zu verarbeiten. Einige der neuen Systeme berücksichtigen automatisch, an welchem Ort die Anfrage gestellt wurde. Dadurch kann beispielsweise ein PDA (Personal Digital Assistant) über seine Funknetzverbindung das nächstgelegene Restaurant ausfindig machen. Auch Bilder spüren die neuen Suchmaschinen besser auf, indem sie Vorlagen mit ähnlichen, bereits abgespeicherten Mustern vergleichen. Sie können sogar den Namen eines Musikstücks herausfinden, wenn man ihnen nur ein paar Takte daraus vorsummt. Heutige Suchmaschinen basieren auf den Erkenntnissen aus dem Bereich des information retrieval (Wiederfinden von Information), mit dem sich Computerwissenschaftler schon seit über 50 Jahren befassen. Bereits 1966 schrieb Ben Ami Lipetz im Scientific American einen Artikel über das »Speichern und Wiederfinden von Information«. Damalige Systeme konnten freilich nur einfache Routine- und Büroanfragen bewältigen. Lipetz zog den hellsichtigen Schluss, dass größere Durchbrüche im information retrieval erst dann erreichbar sind, wenn Forscher die Informationsverarbeitung im menschlichen Gehirn besser verstanden haben und diese Erkenntnisse auf Computer übertragen. Zwar können Computer dabei auch heute noch nicht mit Menschen mithalten, aber sie berücksichtigen bereits weit besser die persönlichen Interessen, Gewohnheiten und Bedürfnisse ihrer Nutzer. Bevor wir uns neuen Entwicklungen bei den Suchmaschinen zuwenden, ist es hilfreich, sich ein Bild davon zu machen, wie die bisherigen funktionieren: Was genau ist passiert, wenn »Google« auf dem Bildschirm meldet, es habe in 0,32 Sekunden einige Milliarden Dokumente durchsucht? Es würde wesentlich länger dauern, wenn dabei die Schlüsselwörter der Anfrage nacheinander mit den Inhalten all dieser Webseiten verglichen werden müssten. Um lange Suchzeiten zu vermeiden, führen die Suchmaschinen viele ihrer Kernoperationen bereits lange vor dem Zeitpunkt der Nutzeranfrage aus.
Viele digitale Inhalte können mit Suchmaschinen nicht erschlossen werden, weil die Systeme, die diese verwalten, Webseiten auf andere Weise speichern, als die Nutzer sie betrachten. Erst durch die Anfrage des Nutzers entsteht die jeweils aktuelle Webseite. Die typischen Webtrawler sind von solchen Seiten überfordert und können deren Inhalte nicht erschließen. Dadurch bleibt ein Großteil der Information - schätzungsweise 500-mal so viel wie das, was das konventionelle Web umfasst - für Anwender verborgen. Doch nun laufen Bemühungen, auch dieses »versteckte Web« ähnlich leicht durchsuchbar zu machen wie seinen bisher zugänglichen Teil. Zu diesem Zweck haben Programmierer eine neuartige Software entwickelt, so genannte Wrapper. Sie macht sich zu Nutze, dass online verfügbare Information standardisierte grammatikalische Strukturen enthält. Wrapper erledigen ihre Arbeit auf vielerlei Weise. Einige nutzen die gewöhnliche Syntax von Suchanfragen und die Standardformate der Online-Quellen, um auf versteckte Inhalte zuzugreifen. Andere verwenden so genannte ApplikationsprogrammSchnittstellen (APIs), die Software in die Lage versetzen, standardisierte Operationen und Befehle auszuführen. Ein Beispiel für ein Programm, das auf versteckte Netzinhalte zugreifen kann, ist der von BrightPlanet entwickelte »Deep Query Manager«. Dieser wrapperbasierte Anfragemanager stellt Portale und Suchmasken für mehr als 70 000 versteckte Webquellen bereit. Wenn ein System zur Erzeugung der Rangfolge Links oder Wörter nutzt, ohne dabei zu berücksichtigen, welche Seitentypen miteinander verglichen werden, besteht die Gefahr des Spoofing: Spaßvögel oder Übeltäter richten Webseiten mit geschickt gewählten Wörtern gezielt ein, um das Rangberechnungssystem in die Irre zu führen. Noch heute liefert die Anfrage nach »miserable failure« (»klägliches Versagen«) an erster Stelle eine offizielle Webseite des Weißen Hauses mit der Biografie von Präsident Bush.
- Date
- 31.12.1996 19:29:41
22. 1.2006 18:34:49
-
Su, L.T.: ¬A comprehensive and systematic model of user evaluation of Web search engines : I. Theory and background (2003)
0.01
0.010948341 = product of:
0.043793365 = sum of:
0.012262309 = weight(_text_:information in 5164) [ClassicSimilarity], result of:
0.012262309 = score(doc=5164,freq=8.0), product of:
0.06322253 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.036014426 = queryNorm
0.19395474 = fieldWeight in 5164, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=5164)
0.03153106 = weight(_text_:retrieval in 5164) [ClassicSimilarity], result of:
0.03153106 = score(doc=5164,freq=6.0), product of:
0.10894058 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.036014426 = queryNorm
0.28943354 = fieldWeight in 5164, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=5164)
0.25 = coord(2/8)
- Abstract
- The project proposes and tests a comprehensive and systematic model of user evaluation of Web search engines. The project contains two parts. Part I describes the background and the model including a set of criteria and measures, and a method for implementation. It includes a literature review for two periods. The early period (1995-1996) portrays the settings for developing the model and the later period (1997-2000) places two applications of the model among contemporary evaluation work. Part II presents one of the applications that investigated the evaluation of four major search engines by 36 undergraduates from three academic disciplines. It reports results from statistical analyses of quantitative data for the entire sample and among disciplines, and content analysis of verbal data containing users' reasons for satisfaction. The proposed model aims to provide systematic feedback to engine developers or service providers for system improvement and to generate useful insight for system design and tool choice. The model can be applied to evaluating other compatible information retrieval systems or information retrieval (IR) techniques. It intends to contribute to developing a theory of relevance that goes beyond topicality to include value and usefulness for designing user-oriented information retrieval systems.
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1175-1192
