CASS/IR Related Resources

	Publications
	Presentations and Posters
	Related Work Language Modeling Relevance Feedback Blind Relevance Feedback Implicit Relevance Feedback Evaluation Collaborative Filtering Background Information Filtering Collaborative Filtering Relevance Feedback Google (Technical Overview) Machine Learning for IR
	Resources IR Systems CF Systems
	People
	Conferences and Workshops SIGIR TREC TDT

	On Evaluation Of Adaptive Topic Tracking Systems Tamer Elsayed, Douglas W. Oard 28th ACM SIGIR Conference on Research and Development in Information Retrieval, August 2005 (To appear). Download: Short Paper PDF
	Exploring One-Sided and Two-Sided Approaches of Adaptive Topic Tracking Tamer Elsayed, Douglas W. Oard UMIACS Technical Report no. XXXXXX, June 2005 Download: PDF
	TDT-2004: Adaptive Topic Tracking At Maryland Tamer Elsayed, Douglas W. Oard, David Doermann, and Gary Kuhn In Working Notes of Topic Detection and Tracking (TDT) Workshop, December 2004 Download: PDF

	On Evaluation Of Adaptive Topic Tracking Systems Tamer Elsayed, Douglas W. Oard 28th ACM SIGIR Conference on Research and Development in Information Retrieval, August 2005 (To appear). Download: Research Poster PDF
	TDT-2004: Adaptive Topic Tracking At Maryland Tamer Elsayed, Douglas W. Oard, David Doermann, and Gary Kuhn In Working Notes of Topic Detection and Tracking (TDT) Workshop, December 2004 Download: Presentation Slides PPT

Language Modeling

	Cluster-Based Retrieval Using Language Models X. Liu, and W. Bruce Croft, SIGIR, 2004
	A Study of Smoothing Methods for Language Models Applied to Information Retrieval C. Zhai, and J. Lafferty, TOIS, 2004
	Relevance Models for Topic Detection and Tracking V. Lavrenko, J. Allan, E. DeGuzman, D. LaFlamme, V. Pollard, and S. Thomas, HLT 2002
	Challenges in Information Retrieval and Language Modeling J. Allan et al. CIIR Worksop, UMass, 2002
	Relevance-Based Language Modeling V. Lavrenko, and W. Bruce Croft, SIGIR 2001
	A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval C. Zhai, and J. Lafferty, SIGIR, 2001
	Relating the New Language Models of Information Retrieval to the Traditional Retrieval Models D. Hiemstra, and A.P. de Vries, CCITT Technical Report 2000
	Relating the New Language Models of Information Retrieval to the Traditional Retrieval Models D. Hiemstra, and A.P. de Vries, CCITT Technical Report 2000
	A General Language Model for Information Retrieval F. Song, and W. Bruce Croft, CIKM, 1999
	A Language Modeling Approach to Information Retrieval J. M. Ponte, W. Bruce Croft, SIGIR 1998

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Relevance Feedback

A Survey on the Use of Relevance Feedback For Information Access Systems I. Ruthven, and M. Lalmas, Knowledge Engineering Review, 2003

Blind Relevance Feedback

Tuning Before Feedback: Combining Ranking Discovery and Blind Relevance Feedback W. Fan, M. Luo, L. Wang, W. Xi, and E. A. Fox, SIGIR 2004

Implicit Relevance Feedback

	A simulated study of implicit feedback models R. White, J. Jose, C.J. Rijsbergen and I. Ruthven, European Conference on Information Retrieval (ECIR) 2004
	Protecting the Privacy of Observable Behavior in Distributed Recommender Systems D. Oard , A. Leuski, and S. Stubblebine, SIGIR Workshop on Implicit Methods 2003
	Implicit Feedback for Inferring User Preference: A Bibliography D. Kelly, and J. Teevan, SIGIR 2003
	Modeling Information Content Using Observable Behavior D. Oard, and J. Kim, American Society for Information Science and Technology, 2001

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Evaluation

	Retrieval Evaluation with Incomplete Information C. Buckley, and E. M. Voorhees, SIGIR 2004
	Why Batch and User Evaluations Do Not Give the Same Results A. H. Turpin, and W. Hersh, SIGIR 2001
	Ranking Retrieval Systems without Relevance Judgments I. Soboroff, C. Nicholas, and P. Cahan, SIGIR 2001
	Evaluating Evaluation Measure Stability C. Buckley, and E. M. Voorhees, SIGIR 2000

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Collaborative Filtering

	A Collaborative Filtering Algorithm and Evaluation Metric that Accurately Model the User Experience M. McLaughlin, and J. Herlocker, SIGIR 2004
	Evaluating collaborative filtering recommender systems J.. Herlocker, J.. Konstan, L. Terveen, and J. Riedl, TOIS 2004
	An Algorithmic Framework for Performing Collaborative Filtering J. Herlocker, J. Konstan, A. Borchers , and J. Riedl, SIGIR 1999
	Combining Content and Collaboration in Text Filtering I. Soboroff and C. Nicholas, IJCAI'99 Workshop on Machine Learning for Information Filtering, 1999
	Resources Collaborative Filtering Research Papers James Thornton Resources on Collaborative Filtering Paul Perry

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Background

Information Filtering

	The State of The Art in Text Filtering D. Oard, User Modeling and User Adapted Interaction 1997
	Information Filtering and Information Retrieval: Two Sides of the Same Coin? N. Belkin, and B. Croft, Communications of ACM 1992

Collaborative Filtering

	Item-based Collaborative Filtering Recommendation Algorithms B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, WWW10 2001
	Social Information Filtering: Algorithms for Automating "Word of Mouth" U. Shardanand, and Pattie Maes, CHI 1995
	Using collaborative filtering to weave an information tapestry D. Goldberg, D. Nichols, B. M. Oki, and D. Terry, Communications of ACM 1992

Relevance Feedback

Improving Retrieval Performance by Relevance Feedback G. Salton, and C. Buckley, American Society for Information Science 1990

Google (Technical Overview)

	The Anatomy of Large-Scale Hypertextual Web Search Engine S. Brin, and L. Page, 1998
	Efficient Crawling Through URL Ordering J. Cho, H. G. Molina, and L. Page, 1998
	The PageRank Citation Ranking: Bringing Order to the Web L. Page, S. Brin, R. Motwani and T. Winograd, 1998

Machine Learning for IR

Machine Learning for Information Retrieval: Neural Networks, Symbolic Learning, and Genetic Algorithms H. Chen, American Society for Information Science 1995

IR Systems

InQuery

	The InQuery Retrieval System
	InQuery System Overview
	Inference networks for document retrieval SIGIR 1989

Lucene

Lemur Toolkit
UMass University

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CF Systems

COllaborative Filtering Engine (CoFE)
Oregon State University

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	Bruce Croft
	James Allan
	Nicholas Belkin
	Jon Herlocker
	Pattie Maes
	Ian Soboroff
	Ian Ruthven
	Curt Stevens
	Kenrick Mock
	Weiguo Fan

SIGIR

	Special Interest Group on Information Retrieval (SIGIR)
	SIGIR Proceedings

TREC

Text REtrieval Conference(TREC)

TDT

	Topic Detection and Tracking (TDT)
	TDT2004 Evaluation Plan
	The DET Curve in assessment of detection task performance
	Multilingual Topic Detection and Tracking: Successful Research Enabled by Corpora and Evaluation