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21	Comparing Query Formulation and Lexical Affinity Replacements in Passage Retrieval Egidio Terra Charles L.A. Clarke Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2005-07-28 20:22:05 Information science Information retrieval Natural language processing Computational linguistics Information retrieval evaluation Query expansion Document retrieval Question answering Relevance feedback Text Retrieval Conference Concept search
22	SIGIR 2007 Proceedings Session 10: Web IR I Robust Classification of Rare Queries Using Web Knowledge Add to Reading List Source URL: fontoura.org Language: English - Date: 2010-02-23 00:22:03 Internet search Information retrieval evaluation Web query classification Query expansion Web search query Information retrieval Document retrieval Google Search Relevance feedback Full text search Search engine Contextual searching
23	Domain-Specific Synonym Expansion and Validation for Biomedical Information Retrieval (MultiText Experiments for TRECStefan B¨ uttcher Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2004-11-20 23:33:15 Information retrieval evaluation Natural language processing Search algorithms Relevance feedback Okapi BM25 Query expansion Ranking Text Retrieval Conference Document retrieval Information retrieval Relevance Google Search
24	Comprehensive Guide to Learning & Teaching A resource for Students’ Unions Contents Add to Reading List Source URL: www.nus.org.uk Language: English - Date: 2016-07-11 06:34:09 Educational psychology Formative assessment Assessment for learning Educational assessment Educational technology Authentic assessment Teaching method Student engagement Constructive alignment Draft:The relevance of assessment to students Peer feedback
25	Domain-Specific Synonym Expansion and Validation for Biomedical Information Retrieval (MultiText Experiments for TRECStefan B¨ uttcher Add to Reading List Source URL: stefan.buettcher.org Language: English - Date: 2006-04-07 00:52:21 Information retrieval evaluation Natural language processing Search algorithms Relevance feedback Okapi BM25 Query expansion Ranking Text Retrieval Conference Document retrieval Information retrieval Relevance Google Search
26	Dynamic Information Retrieval: Theoretical Framework and Application Marc Sloan and Jun Wang Department of Computer Science University College London Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-01-18 21:11:47 Information retrieval evaluation Information retrieval Relevance feedback Relevance Ranking Dynamic programming Discounted cumulative gain Precision and recall Search engine indexing Tfidf
27	Interactive Exploratory Search for Multi Page Search Results Xiaoran Jin and Marc Sloan∗and Jun Wang Department of Computer Science University College London Add to Reading List Source URL: www2013.org Language: English - Date: 2014-07-21 08:47:08 Information retrieval evaluation Search algorithms Natural language processing Relevance feedback Ranking Learning to rank Discounted cumulative gain Information retrieval Relevance Query expansion Rocchio algorithm Search engine indexing
28	Knowledge and Information Systems manuscript No. (will be inserted by the editor) What’s the Difference? A Cognitive Dissimilarity Measure for Information Retrieval Result Sets Add to Reading List Source URL: carsten.io Language: English - Date: 2013-09-07 23:22:42 Information retrieval evaluation Nonparametric statistics Humancomputer interaction Internet search engines Humancomputer information retrieval Information retrieval Relevance feedback Relevance Precision and recall Ranking Rank correlation Search engine
29	MultiText Legal Experiments at TREC 2007 Stefan Büttcher, Charles L. A. Clarke, Gordon V. Cormack, Thomas R. Lynam David R. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario, Canada Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-02-11 08:18:55 Natural language processing Relevance feedback Information retrieval Okapi BM25 Ranking Document retrieval Search engine indexing Search engine N-gram Learning to rank
30	Iterative Expectation for Multi Period Information Retrieval Marc Sloan and Jun Wang Department of Computer Science University College London {M.Sloan, J.Wang}@cs.ucl.ac.uk Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-04-08 16:04:12 Information retrieval evaluation Markov models Natural language processing Machine learning Statistical natural language processing Information retrieval Learning to rank Relevance feedback Search engine technology Discounted cumulative gain Rocchio algorithm Click-through rate