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#	Item
551	User Interactions with Everyday Applications as Context for Just-in-time Information Access Jay Budzik and Kristian J. Hammond Intelligent Information Laboratory Northwestern University 1890 Maple Ave. Add to Reading List Source URL: web.media.mit.edu Language: English - Date: 2000-01-06 16:29:43 Document retrieval Relevance Search engine indexing Full text search Subject Web search query Recommender system Human–computer information retrieval Query expansion Information science Information retrieval Relevance feedback
552	Proceedings Template - WORD Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2007-07-23 09:46:14 Search engine Web search engine Dogpile Google Search Information retrieval Bing Polycola Web query classification Internet search engines Information science Metasearch engine
553	Personalized Web Search by Mapping User Queries to Categories Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2002-09-12 13:00:01 Personalization User Google Search Latent semantic indexing Web query classification Rocchio Classification Information science Information retrieval Relevance feedback
554	Enhanced Exploration of Oral History Archives through Processed Video and Synchronized Text Transcripts Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-07-16 12:23:14 Oral history Video search engine Web search query SQL Bing Usability Web search engine Windows Explorer Search engine indexing Information science Internet search engines Information retrieval
555	Aggregated Search Mounia Lalmas [removed] Abstract. To support broad queries or ambiguous information needs, providing diverse search results to users has become increasingly necessary. Aggregated search attempts to Add to Reading List Source URL: dcs.gla.ac.uk Language: English - Date: 2011-12-01 11:04:25 Search engine Web search query Vertical search Web search engine Federated search Yahoo! Search Metasearch engine Bing Video search engine Information science Internet search engines Information retrieval
556	Towards a Visualization of Multi-faceted Search Results Bilal Alsallakh, Silvia Miksch, Andreas Rauber Institute of Software Technology & Interactive Systems Vienna University of Technology, Austria Abstract. A common w Add to Reading List Source URL: publik.tuwien.ac.at Language: English - Date: 2014-08-18 11:39:58 Computer graphics Infographics Scientific modeling Faceted search Information Web search query Visualization Facet Information retrieval Science Computational science
557	TREC[removed]Interactive Track Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2002-04-19 15:45:34 Document retrieval Relevance feedback Relevance Google Search Web search query Bing TRECVID Search engine TREC Genomics Information science Information retrieval Text Retrieval Conference
558	Search Patterns of Web Users in Russia’s Regions Summer 2010 \| According to Yandex Search Web users all over Russia make tens of millions of search queries on Yandex daily. The way people use the search engine may or m Add to Reading List Source URL: download.yandex.ru Language: English - Date: 2010-08-30 06:18:00 Yandex Internet search Yandex Search Web search query Web search engine Google Search Search engine Web query classification Information science Internet search engines Information retrieval
559	Friends, Romans, Countrymen: Lend me your URLs. Using Social Chatter to Personalize Web Search Abhinay Nagpal Sudheendra Hangal Add to Reading List Source URL: xenon.stanford.edu Language: English - Date: 2011-12-22 17:04:04 Information retrieval Searching Internet search Personalized search Bing Google Search Web search query Twitter Social search Information science Internet search engines World Wide Web
560	Automated Content Based Video Retrieval Sran Zagorac, Ainhoa Llorente, Suzanne Little, Haiming Liu, Stefan R¨ uger Knowledge Media Institute, The Open University Walton Hall, Milton Keynes, MK7 6AA, UK Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-12-07 10:16:54 Science Content-based image retrieval Image retrieval MPEG-7 Query language Search engine Web search engine Information science Information retrieval Image search

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