'Query suggestion' presentation slideshows

1.22k views • 101 slides

CS276B Text Retrieval and Mining Winter 2005

CS276B Text Retrieval and Mining Winter 2005. Lecture 7. Plan for today. Review search engine history (slightly more technically than in the first lecture) Web crawling/corpus construction Distributed crawling Connectivity servers. Evolution of search engines.

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web science Presentation on the topic - Query Recommendation

Papers: Query Suggestions in the Absence of Query Logs DQR: A Probabilistic Approach to Diversified Query Recommendation. web science Presentation on the topic - Query Recommendation. Muhammad Nuruddin ITIS M. Sc. Student Leibniz Universitat Hannover Winter Semester 2012/13

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Huanhuan Cao 1 , Daxin Jiang 2 , Jian Pei 3 , Enhong Chen 1 and Hang Li 2

Towards Context-Aware Search by Learning A Very Large Variable Length Hidden Markov Model from Search Logs. Huanhuan Cao 1 , Daxin Jiang 2 , Jian Pei 3 , Enhong Chen 1 and Hang Li 2 1 University of Science and Technology of China, 2 Microsoft Research Asia, 3 Simon Fraser University.

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Cross-Lingual Query Suggestion Using Query Logs of Different Languages

Cross-Lingual Query Suggestion Using Query Logs of Different Languages. SIGIR 07. Abstract. Query suggestion To suggest relevant queries for a given query To help users better specify their information needs Cross-Lingual Query Suggestion (CLQS):

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Overview of Search Engines

Overview of Search Engines. Rong Jin. Search Engine Architecture. Consists of two major processes Indexing process Query process. Indexing Process. Indexing Process. Text acquisition identifies and stores documents for indexing Text transformation

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Learning Term-weighting Functions for Similarity Measures

Learning Term-weighting Functions for Similarity Measures. Scott Wen -tau Yih Microsoft Research. Applications of Similarity Measures Query Suggestion. query mariners. How similar are they? mariners vs. seattle mariners mariners vs. 1st mariner bank.

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Studying the Use of Popular Destinations to Enhance Web Search Interaction

Studying the Use of Popular Destinations to Enhance Web Search Interaction. Ryen W. White , Mikhail Bilenko, Silviu Cucerzan Microsoft Research, Redmond, USA {ryenw, mbilenko, silviu}@microsoft.com. Motivation.

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With graduate students: Karl Gyllstrom , Earl Bailey

Developing and Evaluating a Query Recommendation Feature to Assist Users with Online Information Seeking & Retrieval. Diane Kelly, Assistant Professor University of North Carolina at Chapel Hill. With graduate students: Karl Gyllstrom , Earl Bailey. Background.

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Intentional Query Suggestion: Making User Goals More Explicit During Search

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Intentional Query Suggestion: Making User Goals More Explicit During Search

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275 views • 17 slides