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Next generation search engines : advanced models for information retrieval (2012)
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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.
-
Milne, R.: ¬The Google Library Project at Oxford (2005)
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- Source
- Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
-
Spink, A.; Gunar, O.: E-Commerce Web queries : Excite and AskJeeves study (2001)
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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
-
Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012)
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- Date
- 20. 4.2012 13:19:22
-
Donlan, R.; Cooke, R.: Running with the devil : accessing library-licensed full text holdings through Google Scholar (2005)
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- Source
- Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
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Ozcan, R.; Altingovde, I.S.; Ulusoy, O.: Exploiting navigational queries for result presentation and caching in Web search engines (2011)
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Sugiura, A.; Etzioni, O.: Query routing for Web search engines : architecture and experiments (2000)
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Force, R.: Image: Google's most important product (2005)
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- Source
- Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
-
Anderson, R.: ¬The (uncertain) future of libraries in a Google world : sounding an alarm (2005)
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- Source
- Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
-
Cathcart, R.; Roberts, A.: Evaluating Google Scholar as a tool for information literacy (2005)
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- Source
- Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
-
Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015)
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- Date
- 20. 1.2015 18:30:22
-
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
-
Mooney, G.; John, R.: Intelligent information retrieval from the World Wide Web using fuzzy user modelling (1997)
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- Source
- Electronic library and visual information research: Proceedings of the 4th ELVIRA Conference (ELVIRA 4), Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1997. Ed. by C. Davies u. A. Ramsden
-
Force, R.: Keeping up with Google : Resources and strategies for staying ahead of the pack (2005)
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- Source
- Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
-
Gardner, T.; Iannella, R.: Architecture and software solutions (2000)
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- Date
- 22. 6.2002 19:38:24
-
Sandler, M.: Disruptive beneficence : the Google Print program and the future of libraries (2005)
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- Pages
- S.5-22
- Source
- Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
-
Poynder, R.: Web research engines? (1996)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Heery, R.: Information gateways : collaboration and content (2000)
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- Date
- 22. 6.2002 19:38:54
