BibSonomy publications for /tag/Search_EnginesWed Nov 12 19:56:25 CET 2008patent no. US 2005/0278317 A1. Personalized searchengine2005information_retrieval search_engines wismasys0809 Wed Nov 12 12:47:36 CET 2008patent no. US 2005/0278317 A1. Personalized searchengine2005personalization search_engines wismasys0809 Wed Nov 12 00:54:50 CET 2008patent no. US 2005/0278317 A1. Personalized searchengine2005personalization search_engines wismasys0809 Wed Nov 12 00:44:13 CET 2008Cyberage BooksThe Invisible Web: Finding Hidden Internet Resources Search Engines Can't See2001Invisible_Web deep_web search_engines wismasys0809 Wed Nov 12 00:03:49 CET 2008ACM SIGIR Forum23-10A taxonomy of Web search362002Information_Retrieval informational_queries navigational_queries search_engines taxonomy transactional_queries web_search wismasys0809 Tue Nov 11 23:44:33 CET 2008Journal of Electronic Publishing1The Deep Web: Surfacing Hidden Value72001Web_Information_Retrieval deep_web search_engines wismasys0809 Mon Nov 10 22:26:02 CET 2008Deutsche Suchmaschinen im Vergleich: AltaVista.de, Fireball.de, Google.de und Lycos.de2002google search_engines wismasys0809 n der Erschließung des Web stehen sich traditionell die Ansätze der Web-Verzeichnisse (Kataloge) und der algorithmischen Suchmaschinen gegenüber, wobei die Verzeichnisse in den letzten Jahren an Bedeutung verloren haben. Allerdings lassen sich Verzeichnis-Daten in die algorithmische Suche einbinden und für das Ranking nutzbar machen. Dies geschieht jedoch bisher nur in marginalem Umfang, obwohl seitens der Anbieter von Suchmaschinen entweder ein eigenes Verzeichnis vorhanden ist (Yahoo) oder aber ein frei verfügbares Verzeichnis in die Suchmaschine eingebunden werden kann. Die Einbindung beschränkt sich bisher auf einen eigenen Einstieg in die Verzeichnis-Suche und teils die Anzeige von passenden Verzeichnis-Kategorien in der regulären Web-Suche. Der Artikel gibt einen Überblick über die bisherigen Ansätze der Integration von Web-Verzeichnissen in Suchmaschinen und präsentiert dann einen Ansatz, wie sich die Treffermenge mit Hilfe von Verzeichnisdaten steuern und die Trefferqualität erhöhen lässt. Mon Nov 10 22:25:29 CET 2008Measuring search engine quality2001Informationsbedarfsanalyse search_engines wismasys0809 The effectiveness of twenty public search engines is evaluated using TREC-inspired methods and a set of 54 queries taken from real Web search logs. The World Wide Web is taken as the test collection and a combination of crawler and text retrieval system is evaluated. The engines are compared on a range of measures derivable from binary relevance judgments of the first seven live results returned. Statistical testing reveals a significant difference between engines and high intercorrelations between measures. Surprisingly, given the dynamic nature of the Web and the time elapsed, there is also a high correlation between results of this study and a previous study by Gordon and Pathak. For nearly all engines, there is a gradual decline in precision at increasing cutoff after some initial fluctuation. Performance of the engines as a group is found to be inferior to the group of participants in the TREC-8 Large Web task, although the best engines approach the median of those systems. Shortcomings of current Web search evaluation methodology are identified and recommendations are made for future improvements. In particular, the present study and its predecessors deal with queries which are assumed to derive from a need to find a selection of documents relevant to a topic. By contrast, real Web search reflects a range of other information need types which require different judging and different measures.Mon Nov 10 11:44:47 CET 2008patent no. US 2005/0278317 A1. Personalized searchengine2005personalization search_engines wismasys0809 Mon Nov 10 11:27:44 CET 2008patent no. US 2005/0278317 A1. Personalized searchengine2005personalized search search_engines wismasys0809 Mon Nov 10 00:08:13 CET 2008Measuring search engine quality2001quality search_engines wismasys0809 The effectiveness of twenty public search engines is evaluated using TREC-inspired methods and a set of 54 queries taken from real Web search logs. The World Wide Web is taken as the test collection and a combination of crawler and text retrieval system is evaluated. The engines are compared on a range of measures derivable from binary relevance judgments of the first seven live results returned. Statistical testing reveals a significant difference between engines and high intercorrelations between measures. Surprisingly, given the dynamic nature of the Web and the time elapsed, there is also a high correlation between results of this study and a previous study by Gordon and Pathak. For nearly all engines, there is a gradual decline in precision at increasing cutoff after some initial fluctuation. Performance of the engines as a group is found to be inferior to the group of participants in the TREC-8 Large Web task, although the best engines approach the median of those systems. Shortcomings of current Web search evaluation methodology are identified and recommendations are made for future improvements. In particular, the present study and its predecessors deal with queries which are assumed to derive from a need to find a selection of documents relevant to a topic. By contrast, real Web search reflects a range of other information need types which require different judging and different measures.Mon Nov 10 00:07:59 CET 2008Deutsche Suchmaschinen im Vergleich: AltaVista.de, Fireball.de, Google.de und Lycos.de2002altavista comparison fireball google lycos search_engines wismasys0809 n der Erschließung des Web stehen sich traditionell die Ansätze der Web-Verzeichnisse (Kataloge) und der algorithmischen Suchmaschinen gegenüber, wobei die Verzeichnisse in den letzten Jahren an Bedeutung verloren haben. Allerdings lassen sich Verzeichnis-Daten in die algorithmische Suche einbinden und für das Ranking nutzbar machen. Dies geschieht jedoch bisher nur in marginalem Umfang, obwohl seitens der Anbieter von Suchmaschinen entweder ein eigenes Verzeichnis vorhanden ist (Yahoo) oder aber ein frei verfügbares Verzeichnis in die Suchmaschine eingebunden werden kann. Die Einbindung beschränkt sich bisher auf einen eigenen Einstieg in die Verzeichnis-Suche und teils die Anzeige von passenden Verzeichnis-Kategorien in der regulären Web-Suche. Der Artikel gibt einen Überblick über die bisherigen Ansätze der Integration von Web-Verzeichnissen in Suchmaschinen und präsentiert dann einen Ansatz, wie sich die Treffermenge mit Hilfe von Verzeichnisdaten steuern und die Trefferqualität erhöhen lässt. Wed Nov 05 18:10:25 CET 2008School of Library, Archive and Information Studies University College London London WC1E 6BT, England; Computer Laboratory University of Cambridge Cambridge CB2 3QG, EnglandJournal of the American Society for Information Science3129--146Relevance weighting of search terms271976relevance_weighting search_engines search_terms wismasys0809 This paper examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general. A series of relevance weighting functions is derived and is justified by theoretical considerations. In particular, it is shown that specific weighted search methods are implied by a general probabilistic theory of retrieval. Different applications of relevance weighting are illustrated by experimental results for test collections.Wed Nov 05 17:54:20 CET 2008Journal of the American Society for Information Science and Technology140-151GeoSearcher: Location-based ranking of search engine results542003GeoSearcher location-based ranking search_engines search_results wismasys0809 Wed Nov 05 17:39:42 CET 2008Journal of the American Society for Information Science and Technology140-151GeoSearcher: Location-based ranking of search engine results542003GIR GeoSearcher geographic_information_retrieval ranking search_engines search_result_list wismasys0809 Wed Nov 05 17:34:55 CET 2008patent no. US 6.269.361System and method for influencing a position on a search result list generated by a computer network search engine1999method search_engines search_result_list system wismasys0809 Wed Nov 05 17:31:15 CET 2008Cyberage BooksThe Invisible Web: Finding Hidden Internet Resources Search Engines Can't See2001information_retrieval invisible_web search_engines wismasys0809 Wed Nov 05 17:30:18 CET 2008Cyberage BooksThe Invisible Web: Finding Hidden Internet Resources Search Engines Can't See2001deep_web invisible_web resources search_engines wismasys0809 Wed Nov 05 17:01:34 CET 2008Communications of the ACM111022-1036Extended Boolean Information Retrieval261983extended_boolean information_retrieval search_engines wismasys0809 Wed Nov 05 17:01:32 CET 2008WWW136-147Optimal crawling strategies for web search engines2002crawling search_engines wismasys0809 Search_EnginesCommunity for tag(s) Search_Engines