-
Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996)
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- Date
- 7. 2.1996 22:38:41
- Pages
- 22 S
-
MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000)
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- Date
- 22. 6.2002 19:40:22
-
Breyer, K.: Kommerz statt Information (2002)
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- Date
- 9. 5.2002 21:21:22
-
Hüskes, R.; Kleber, D.: ¬Den Server im Griff (1999)
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- Date
- 22. 8.1999 21:21:10
-
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
-
Gardner, T.; Iannella, R.: Architecture and software solutions (2000)
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- Date
- 22. 6.2002 19:38:24
-
Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001)
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- Abstract
- Die deutschen Suchmaschinen, Abacho, Acoon, Fireball und Lycos sowie die Web-Kataloge Web.de und Yahoo! werden einem Qualitätstest nach relativem Recall, Precision und Availability unterzogen. Die Methoden der Retrievaltests werden vorgestellt. Im Durchschnitt werden bei einem Cut-Off-Wert von 25 ein Recall von rund 22%, eine Precision von knapp 19% und eine Verfügbarkeit von 24% erreicht
-
Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014)
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- Date
- 13. 9.2014 14:45:22
- Type
- r
-
Williamson, N.J.: Knowledge structures and the Internet : progress and prospects (2006)
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- Date
- 27.12.2008 15:56:22
- Source
- Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
-
Rogers, R.: Zur Frage der Vergoogelung : Hin zu einer unkritisierbaren Maschine? (2009)
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- Source
- Deep Search: Politik des Suchens jenseits von Google; Deep Search-Konferenz, Wien, 2008.11.08; eine Veröffentlichung des World-Information Institute. Hrsg.: K. Becker u. F. Stalder
-
Bertelmann, R.; Rusch-Feja, D.: Informationsretrieval im Internet : Surfen, Browsen, Suchen - mit einem Überblick über strukturierte Informationsangebote (1997)
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- Date
- 9. 7.2000 11:31:22
-
Heery, R.: Information gateways : collaboration and content (2000)
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- Date
- 22. 6.2002 19:38:54
-
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/.
-
Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997)
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- Date
- 1. 8.1996 22:08:06
-
Khare, R.; Cutting, D.; Sitaker, K.; Rifkin, A.: Nutch: a flexible and scalable open-source Web search engine (2004)
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-
Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016)
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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.
-
Carrière, S.J.; Kazman, R.: Webquery : searching and visualising the Web through connectivity (1997)
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- Date
- 1. 8.1996 22:08:06
-
Patzwaldt, K.: Google Inside (2005)
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- Date
- 10. 6.2005 17:43:22
- Source
- ¬Die Google-Gesellschaft: Vom digitalen Wandel des Wissens. Hrsg.: K. Lehmann, M. Schetsche
-
Kuhlen, R.: Macht Google autonom? : Zur Ambivalenz informationeller Autonomie (2005)
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- Source
- ¬Die Google-Gesellschaft: Vom digitalen Wandel des Wissens. Hrsg.: K. Lehmann, M. Schetsche
-
Baeza-Yates, R.; Boldi, P.; Castillo, C.: Generalizing PageRank : damping functions for linkbased ranking algorithms (2006)
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- Date
- 16. 1.2016 10:22:28
