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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Berkeley2 at GeoCLEF: Cross-Language Geographic Information Retrieval of German and English Documents Fredric Gey; Vivien Petras In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/gey205.pdf (2005) BASE Show details 2 Logic-Based XPath Optimization Genevès, Pierre; Vion-Dury, Jean-Yves In: Proceedings of the 2004 ACM symposium on Document Engineering, DocEng 2004 ; https://hal.inria.fr/inria-00423355 ; Proceedings of the 2004 ACM symposium on Document Engineering, DocEng 2004, Oct 2004, MilWaukee, WI, United States. pp.211-219, ⟨10.1145/1030397.1030437⟩ (2004) BASE Show details 3 Fast error-tolerant search on very large texts Marjan Celikik; Holger Bast In: https://domino.mpi-inf.mpg.de/intranet/ag1/ag1publ.nsf/AuthorEditorIndividualView/efce206882c168ffc125755200522a25/$FILE/spelling-variants.pdf BASE Show details 4 University of Hagen at CLEF 2007: Answer Validation Exercise Ingo Glöckner In: http://www.clef-campaign.org/2007/working_notes/glocknerclef2007.pdf BASE Show details 5 Evaluation Design of Information Retrieval System with eTVSM Specific Extensions Artem S. Polyvyanyy In: http://bpt.hpi.uni-potsdam.de/pub/Public/SeminarPublications/ArtemPolyvyanyy.pdf BASE Show details 6 Interest-based personalized search Zhongming Ma; Gautam Pant; Olivia R. Liu Sheng In: http://home.business.utah.edu/actgp/Papers/Interest-based personalized search.pdf Abstract: Web search engines typically provide search results without considering user interests or context. We propose a personalized search approach that can easily extend a conventional search engine on the client side. Our mapping framework automatically maps a set of known user interests onto a group of categories in the Open Directory Project (ODP) and takes advantage of manually edited data available in ODP for training text classifiers that correspond to, and therefore categorize and personalize search results according to user interests. In two sets of controlled experiments, we compare our personalized categorization system (PCAT) with a list interface system (LIST) that mimics a typical search engine and with a nonpersonalized categorization system (CAT). In both experiments, we analyze system performances on the basis of the type of task and query length. We find that PCAT is preferable to LIST for information gathering types of tasks and for searches with short queries, and PCAT outperforms CAT in both information gathering and finding types of tasks, and for searches associated with free-form queries. From the subjects ’ answers to a questionnaire, we find that PCAT is perceived as a system that can find relevant Web pages quicker and easier Keyword: Algorithms; Categories and Subject Descriptors; Content Analysis and Indexing—Dictionaries; H.3.1 [Information Storage and Retrieval; H.3.3 [Information Storage and Retrieval; H.3.4 [Information Storage and Retrieval; H.5.2 [Information Interfaces and Presentation; information retrieval; Information Search and Retrieval—Search process; Linguistic processing; Open Directory ACM Reference Format; Performance Additional Key Words and Phrases; Personalized search; Systems and Software—Performance evaluation (efficiency and effectiveness; user interest; user interface; User Interfaces—Graphical user interfaces (GUI) General Terms; World Wide Web URL: http://home.business.utah.edu/actgp/Papers/Interest-based personalized search.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.9203 BASE Hide details

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