-
Eggeling, T.; Kroschel, A.: Alles finden im Web (2000)
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- Date
- 9. 7.2000 14:06:22
-
Gardner, T.; Iannella, R.: Architecture and software solutions (2000)
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- Date
- 22. 6.2002 19:38:24
-
Koch, T.: Quality-controlled subject gateways : definitions, typologies, empirical overview (2000)
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- Date
- 22. 6.2002 19:37:55
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Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005)
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- Abstract
- PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor alpha that spreads uniformly part of the rank. The choice of alpha is eminently empirical, and in most cases the original suggestion alpha=0.85 by Brin and Page is still used. Recently, however, the behaviour of PageRank with respect to changes in alpha was discovered to be useful in link-spam detection. Moreover, an analytical justification of the value chosen for alpha is still missing. In this paper, we give the first mathematical analysis of PageRank when alpha changes. In particular, we show that, contrarily to popular belief, for real-world graphs values of alpha close to 1 do not give a more meaningful ranking. Then, we give closed-form formulae for PageRank derivatives of any order, and an extension of the Power Method that approximates them with convergence O(t**k*alpha**t) for the k-th derivative. Finally, we show a tight connection between iterated computation and analytical behaviour by proving that the k-th iteration of the Power Method gives exactly the PageRank value obtained using a Maclaurin polynomial of degree k. The latter result paves the way towards the application of analytical methods to the study of PageRank.
- Date
- 16. 1.2016 10:22:28
-
Duval, B.K.; Main, L.: Searching the Internet : part 2 trail-blazers (1997)
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- Content
- T.1 u.d.T.: Searching the Net: general overview in: 15(1996) no.4
- Date
- 6. 3.1997 16:22:15
-
Fischer, T.; Neuroth, H.: SSG-FI - special subject gateways to high quality Internet resources for scientific users (2000)
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- Date
- 22. 6.2002 19:40:42
-
Large, A.; Beheshti, J.; Rahman, T.: Design criteria for children's Web portals : the users speak out (2002)
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- Date
- 2. 6.2005 10:34:22
-
Nicholson, S.; Sierra, T.; Eseryel, U.Y.; Park, J.-H.; Barkow, P.; Pozo, E.J.; Ward, J.: How much of it is real? : analysis of paid placement in Web search engine results (2006)
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- Date
- 22. 7.2006 16:32:57
-
Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019)
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- Abstract
- Purpose The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons. Design/methodology/approach The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform. Findings Google's top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists. Research limitations/implications The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries. Originality/value The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.
- Date
- 20. 1.2015 18:30:22
-
Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012)
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- Abstract
- This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
- Date
- 20. 4.2012 13:22:37
-
Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012)
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- Abstract
- The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
- Date
- 20. 4.2012 13:19:22
-
Calishain, T.; Dornfest, R.: Google Hacks (2003)
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-
Patzwaldt, K.: Google Inside (2005)
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- Abstract
- »Googeln« ist längst als Verb für die Internet-Suche in den Sprachgebrauch eingegangen, aber auch das Unternehmen selbst findet sich seit der 23. Ausgabe des Dudens im offiziellen Sprachschatz der Deutschen. Der Namen der Suchmaschine stammt vom Wort Googol, einer Eins mit hundert Nullen. Googol wurde von Milton Sirotta, einem Neffen des USMathematikers Edward Kasner, geprägt. Der Name verdeutlicht symbolisch das Ziel, die enorme Menge an Informationen im Web und auf der ganzen Welt zu organisieren. Die Gründer von Google konnten lange Zeit von einem Sympathie-Bonus zehren, der ihnen als Jungunternehmer und Garagenfirma entgegengebracht wurde - aber auch ein technischer Vorsprung gegenüber den damaligen und heutigen Konkurrenten sorgten für den Aufstieg des Unternehmens in der Gunst der Nutzer. Die Bekanntheit der Suchmaschine wurde fast ausschließlich über Mund-zu-Mund-Propaganda erreicht. Wichtig waren dabei die neuartige PageRank-Technologie, mit der die Websites komplex bewertet werden sowie das schlichte Design der Suchmaschine. Google profitiert zudem bis heute vom Ruf eines High-Tech-Unternehmes. Google ist seit Herbst 2004 ein börsennotiertes Unternehmen (mit mehr als 3.000 Mitarbeitern und über 100.000 Servern) und kann wohl auch im jahr 2005 die Spitzenposition im Suchmaschinenmarkt behaup ten: Während im Dezember 2004 im US-amerikanischen Markt der Anteil bei rund 48 Prozent der vermittelten Suchanfragen lag (einschließlich AOL, Netscape und Excite), beträgt dieser Anteil in Deutschland über 80 Prozent (einschließlich AOL und T-Online). Google hat den Erfolg jedoch nicht gepachtet: Die Hauptkonkurrenten Yahoo! und MSN sind Google im US-amerikanischen Markt dicht auf den Fersen. Und möglicherweise zieht eines Tages ein anderes Unternehmen mit einer völlig revolutionären Suchtechnologie an Google vorbei. Deshalb wird viel für die Entwicklung der Technologie und die Kundenbindung getan. Dazu gehören Entwicklungen wie die Toolbar, Deskbar, Desktop-Suche und der E-Mail-Dienst Gmail.
- Date
- 10. 6.2005 17:43:22
-
Page, L.; Brin, S.; Motwani, R.; Winograd, T.: ¬The PageRank citation ranking : Bringing order to the Web (1999)
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-
Stanley, T.: To meta-search or not to meta-search? (1999)
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Bar-Ilan, J.; Gutman,T.: How do search engines respond to some non-English queries? (2005)
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Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Content
- Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
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Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996)
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- Date
- 7. 2.1996 22:38:41
- Pages
- 22 S
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Höfer, W.: Detektive im Web (1999)
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- Date
- 22. 8.1999 20:22:06
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Rensman, J.: Blick ins Getriebe (1999)
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- Date
- 22. 8.1999 21:22:59
