Search (104 results, page 1 of 6)

  • × theme_ss:"Suchmaschinen"
  • × year_i:[2010 TO 2020}
  1. Weber, K.: Search engine bias (2011) 0.03
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  2. Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016) 0.03
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    Abstract
    Query suggestion is generally an integrated part of web search engines. In this study, we first redefine and reduce the query suggestion problem as "comparison of queries". We then propose a general modular framework for query suggestion algorithm development. We also develop new query suggestion algorithms which are used in our proposed framework, exploiting query, session and user features. As a case study, we use query logs of a real educational search engine that targets K-12 students in Turkey. We also exploit educational features (course, grade) in our query suggestion algorithms. We test our framework and algorithms over a set of queries by an experiment and demonstrate a 66-90% statistically significant increase in relevance of query suggestions compared to a baseline method.
    Language
    e
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. ¬Die Googleisierung der Informationssuche : Suchmaschinen zwischen Nutzung und Regulierung (2014) 0.02
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    Classification
    AYZ (E)
    KNZZ (E)
    KNZ (FH K)
    Editor
    Birgit Stark, B., D. Dörr u. S. Aufenanger
    Footnote
    Rez. in: Mitt. VOEB 68(2015) H.1, S.180-183 (O.Oberhauser): "Aus dieser kurzen Skizze geht hervor, dass der vorliegende Band eine Reihe interessanter und mitunter auch brisanter Teilthemen beinhaltet. Wer an der Diskussion um die Rolle der meistgenutzten Suchmaschine in unserer Gesellschaft Interesse hat, findet in diesem Buch reichlich Material und Ideen. Jeder Beitrag wird zudem durch ein Literaturverzeichnis ergänzt, in dem weiterführende Quellen genannt werden. Die Beiträge sind durchweg "lesbar" geschrieben und nur in mässigem Ausmass von soziologischem oder rechtswissenschaftlichem Fachjargon durchsetzt. In stilistischer Hinsicht ist der Text dennoch nicht ohne Probleme, zumal bereits im ersten Absatz der Einleitung ein als Hauptsatz "verkaufter" Nebensatz auffällt ("Denn Suchmaschinenbetreiber wie Google ermöglichen und gestalten den Zugang zu Informationen im Netz.") und die gleiche stilistische Schwäche allein in der 19-seitigen Einleitung in über einem Dutzend weiterer Fälle registriert werden kann, vom nächsten Beitrag gar nicht zu sprechen. Ein funktionierendes Verlagslektorat hätte derlei rigoros bereinigen müssen. Es hätte eventuell auch dafür Sorge tragen können, dass am Ende des Bandes nicht nur ein Verzeichnis der Autorinnen und Autoren aufscheint, sondern auch ein Sachregister - ein solches fehlt nämlich bedauerlicherweise. In optischer Hinsicht ist der Hardcover-Band ansprechend gestaltet und gut gelungen. Der Preis liegt mit rund 80 Euro leider in der Oberklasse; auch die E-Book-Version macht die Anschaffung nicht billiger, da kein Preisunterschied zur gebundenen Ausgabe besteht. Dennoch ist das Buch aufgrund der interessanten Inhalte durchaus zu empfehlen; grössere Bibliotheken sowie kommunikations- und informationswissenschaftliche Spezialsammlungen sollten es nach Möglichkeit erwerben."
    GHBS
    AYZ (E)
    KNZZ (E)
    KNZ (FH K)
  4. Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015) 0.02
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    Language
    e
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  5. Milonas, E.: ¬An examination of facets within search engine result pages (2017) 0.02
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    Language
    e
    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  6. Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.02
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    Date
    30. 9.2012 19:27:22
    Language
    e
  7. Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010) 0.01
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    Classification
    TWX (FH K)
    GHBS
    TWX (FH K)
    Language
    e
  8. Levy, S.: Google inside : Wie Google denkt, arbeitet und unser Leben verändert (2012) 0.01
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    Classification
    KNZ (FH K)
    Date
    4.12.2015 14:29:01
    GHBS
    KNZ (FH K)
  9. Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012) 0.01
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    Abstract
    Traffic from search engines is important for most online businesses, with the majority of visitors to many websites being referred by search engines. Therefore, an understanding of this search engine traffic is critical to the success of these websites. Understanding search engine traffic means understanding the underlying intent of the query terms and the corresponding user behaviors of searchers submitting keywords. In this research, using 712,643 query keywords from a popular Spanish music website relying on contextual advertising as its business model, we use a k-means clustering algorithm to categorize the referral keywords with similar characteristics of onsite customer behavior, including attributes such as clickthrough rate and revenue. We identified 6 clusters of consumer keywords. Clusters range from a large number of users who are low impact to a small number of high impact users. We demonstrate how online businesses can leverage this segmentation clustering approach to provide a more tailored consumer experience. Implications are that businesses can effectively segment customers to develop better business models to increase advertising conversion rates.
    Language
    e
  10. Bressan, M.; Peserico, E.: Choose the damping, choose the ranking? (2010) 0.01
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    Abstract
    To what extent can changes in PageRank's damping factor affect node ranking? We prove that, at least on some graphs, the top k nodes assume all possible k! orderings as the damping factor varies, even if it varies within an arbitrarily small interval (e.g. [0.84999,0.85001][0.84999,0.85001]). Thus, the rank of a node for a given (finite set of discrete) damping factor(s) provides very little information about the rank of that node as the damping factor varies over a continuous interval. We bypass this problem introducing lineage analysis and proving that there is a simple condition, with a "natural" interpretation independent of PageRank, that allows one to verify "in one shot" if a node outperforms another simultaneously for all damping factors and all damping variables (informally, time variant damping factors). The novel notions of strong rank and weak rank of a node provide a measure of the fuzziness of the rank of that node, of the objective orderability of a graph's nodes, and of the quality of results returned by different ranking algorithms based on the random surfer model. We deploy our analytical tools on a 41M node snapshot of the .it Web domain and on a 0.7M node snapshot of the CiteSeer citation graph. Among other findings, we show that rank is indeed relatively stable in both graphs; that "classic" PageRank (d=0.85) marginally outperforms Weighted In-degree (d->0), mainly due to its ability to ferret out "niche" items; and that, for both the Web and CiteSeer, the ideal damping factor appears to be 0.8-0.9 to obtain those items of high importance to at least one (model of randomly surfing) user, but only 0.5-0.6 to obtain those items important to every (model of randomly surfing) user.
    Language
    e
  11. Thelwall, M.: Assessing web search engines : a webometric approach (2011) 0.01
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    Language
    e
    Source
    Innovations in information retrieval: perspectives for theory and practice. Eds.: A. Foster, u. P. Rafferty
  12. Jindal, V.; Bawa, S.; Batra, S.: ¬A review of ranking approaches for semantic search on Web (2014) 0.01
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    Theme
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  13. Niedermair, K.: Gefährden Suchmaschinen und Discovery-Systeme die informationelle Autonomie? (2014) 0.01
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  14. Rieh, S.Y.; Kim, Y.-M.; Markey, K.: Amount of invested mental effort (AIME) in online searching (2012) 0.01
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  15. Levy, S.: In the plex : how Google thinks, works, and shapes our lives (2011) 0.01
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  16. Next generation search engines : advanced models for information retrieval (2012) 0.01
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    Content
    Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
    Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.
    Language
    e
  17. Kaeser, E.: ¬Das postfaktische Zeitalter (2016) 0.01
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    Content
    "Es gibt Daten, Informationen und Fakten. Wenn man mir eine Zahlenreihe vorsetzt, dann handelt es sich um Daten: unterscheidbare Einheiten, im Fachjargon: Items. Wenn man mir sagt, dass diese Items stündliche Temperaturangaben der Aare im Berner Marzilibad bedeuten, dann verfüge ich über Information - über interpretierte Daten. Wenn man mir sagt, dies seien die gemessenen Aaretemperaturen am 22. August 2016 im Marzili, dann ist das ein Faktum: empirisch geprüfte interpretierte Daten. Dieser Dreischritt - Unterscheiden, Interpretieren, Prüfen - bildet quasi das Bindemittel des Faktischen, «the matter of fact». Wir alle führen den Dreischritt ständig aus und gelangen so zu einem relativ verlässlichen Wissen und Urteilsvermögen betreffend die Dinge des Alltags. Aber wie schon die Kurzcharakterisierung durchblicken lässt, bilden Fakten nicht den Felsengrund der Realität. Sie sind kritikanfällig, sowohl von der Interpretation wie auch von der Prüfung her gesehen. Um bei unserem Beispiel zu bleiben: Es kann durchaus sein, dass man uns zwei unterschiedliche «faktische» Temperaturverläufe der Aare am 22. August 2016 vorsetzt.
    Date
    24. 8.2016 9:29:24
  18. Lewandowski, D.; Spree, U.: ¬Die Forschungsgruppe Search Studies an der HAW Hamburg (2019) 0.01
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  19. Kruschwitz, U.; Lungley, D.; Albakour, M-D.; Song, D.: Deriving query suggestions for site search (2013) 0.01
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  20. Roy, R.S.; Agarwal, S.; Ganguly, N.; Choudhury, M.: Syntactic complexity of Web search queries through the lenses of language models, networks and users (2016) 0.01
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    Language
    e
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval

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