Oren Kurland

Professor, Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology.

Teaching

• Advanced information retrieval. (Spring 2014-2016)
• Information retrieval. (Winter 2008-2016, 2018, 2020-2022)
• Advanced topics in information retrieval (with Fiana Raiber). (Spring 2018)
• Introduction to data science. (Spring 2018-2021)
• Advanced topics in information systems --- Information retrieval. (Spring 2007)
• Software engineering. (Winter 2007, Spring 2008-2015)

Ph.D. students

Current

• Eilon Sheetrit

Graduated

• Gregory Goren (graduated in 2020; co-advised by Moshe Tennenholtz)
  Thesis: "Strategic Information Retrieval - The Mediator and Agent Perspectives".
• Hadas Raviv (graduated in 2018)
  Thesis: "Entity-based retrieval".
• Fiana Raiber (graduated in 2016)
  Thesis: "Query performance prediction and cluster ranking: Two sides of the same coin?"
• Anna Shtok (graduated in 2016)
  Thesis: "New approaches for query performance prediction".
• Eyal Krikon (graduated in 2011)
  Thesis: "Using document passages for information retrieval".

M.Sc. students

Current

• Tomer Gurevich
• Egor Markovskiy (co-advised by Shoham Sabach)
• Liron Tyomkin
• Itay Yacov

Graduated

• Lital Kuchi (graduated in 2022)
  Thesis: "E-Commerce Aspects"
• Ziv Vasilisky (co-advised by Moshe Tennenholtz; graduated in 2022)
  Thesis: "Adversarial Search"
• Itay Harel (graduated in 2021)
  Thesis: "Conversational Search".
• Kfir Bernstein (graduated in 2020)
  Thesis: "Cluster-based document retrieval with multiple queries".
• Sharon Hirsh (graduated in 2020)
  Thesis: "Query Reformulation in E-Commerce Search".
• Oleg Zendel (graduated in 2020)
  Thesis: "Information Needs, Queries, and Query Performance Prediction".
• Igal Shprincis (graduated in 2018)
  Final project: "Studying the cluster hypothesis with focused relevance judgements".
• Nimrod Raifer (graduated in 2017)
  Thesis: "Information retrieval meets game theory: The ranking competition between documents' authors".
• Saar Kuzi (graduated in 2017)
  Thesis: "Discriminative query models".
• Elinor Brondwine (graduated in 2016)
  Thesis: "Utilizing focused relevance feedback".
• Or Levi (graduated in 2016)
  Thesis: "Selective cluster-based retrieval".
• Shay Katz (graduated in 2016)
  Final project: "List selection in fusion".
• Liora Braunstain (graduated in 2016)
  Thesis: "Supporting Human Answers for Advice-Seeking Questions in CQA Sites".
• Yael Anava (graudated in 2016)
  Thesis: "A probabilistic fusion framework".
• Mor Sondak (graduated in 2015)
  Thesis: "Estimating query representativeness for query-performance prediction".
• Peter Izsak (graduated in 2015)
  Thesis: "The search engines duel".
• Savva Khalaman (graduated in 2014)
  Thesis: "Using inter-document similarities in federated search".
• Adir Katz (graduated in 2014)
  Thesis: "Integrating explicit and pseudo feedback to improve retrieval effectiveness".
• Dima Pavlov (graduated in 2014)
Final project: "A graph-based approach to utilizing minimal relevance feedback".
• Ofri Rom (graduated in 2014)
  Thesis: "Advanced methods for pseudo-feedback-based retrieval".
• Shay Hummel (graduated in 2013.)
  Thesis: "Search system evaluation using minimal relevance judgements".
• Gad Markovits (graduated in 2013.)
  Thesis: "Predicting query performance for fusion-based retrieval".
• Olga Butman (graduated in 2012.)
  Thesis: "Query-performance prediction using minimal relevance feedback".
• Anna Khudyak Kozorovitsky (graduated in 2011)
  Thesis: "Fusing retrieved lists based on inter-document similarities".
• Yevgeni Lepa (graduated in 2011)
  Final project: "Query expansion using term clusters".
• Lior Meister (graduated in 2010)
  Thesis: "Re-ranking search results using an additional retrieved list".
• Natali Soskin (graduated in 2010)
  Thesis: "Navigating in the dark: Modeling uncertainty in ad hoc retrieval using multiple relevance models".
• Liron Zighelnic (graduated in 2010)
  Thsis: "Robust query expansion based on query-drift prevention".
• Inna Gelfer Kalmanovich (graduated in 2009)
  Thesis: "Cluster-based relevance models".
• Mattan Winaver (co-advised by Carmel Domshlak; graduated in 2009.)
• Michael Bendersky (graduated in 2007)
  Thesis: "Passage language models in ad hoc document retrieval". (Technical report IE/IS-2007-04) pdf

Some professional activities

• Editorial boards: Information Retrieval Journal, Journal of Artificial Intelligence Research (JAIR), Information Processing and Management Journal (2014-2015).
• Program co-chair (short papers) for ACM SIGIR 2020.
• Senior program committee member/area chair: SIGIR 2011-2022; CIKM 2009-2013, 2015-2019; 2021; WSDM 2015, 2017-2021; WebConf (WWW) 2016, 2018-2022; ECIR 2016-2022, EMNLP-IJCNLP 2019; AIRS 2015.
• Chair of the steering committee of the ACM SIGIR ICTIR conference 2014-2015.
• Co-chair for the doctoral consortium of WSDM 2014.
• Program co-chair for the 4th International Conference on the Theory of Information Retrieval (ICTIR), 2013.
• Program co-chair for the 20th International Symposium on String Processing and Information Retrieval (SPIRE), 2013.

Tutorials

• Oren Kurland and Shane Culpepper. Fusion in Information Retrieval. SIGIR 2018. pdf
• Oren Kurland. The cluster hypothesis in information retrieval. ECIR 2014.
• Oren Kurland. The cluster hypothesis in information retrieval. SIGIR 2013. pdf
• Donald Metzler and Oren Kurland. Experimental methods for information retrieval. SIGIR 2012. pdf
• David Carmel and Oren Kurland. Query performance prediction for IR. SIGIR 2012. pdf

Publications

2022

• Topic Difficulty: Collection and Query Formulation Effects. J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland. ACM Transactions on Information Systems, pp 1--30, 2022. (to appear)

2021

• Driving the Herd: Search Engines as Content Influencers. Gregory Goren, Oren Kurland, Moshe Tennenholtz and Fiana Raiber. In proceedings of CIKM, 2021. (to appear)
• Recommending Search Queries in Documents Using Inter N-Gram Similarities. Eilon Sheetrit, Yaroslav Fyodorov, Fiana Raiber and Oren Kurland. In proceedings of ICTIR, pp 211--220, 2021.
• Do Hard Topics Exist? A Statistical Analysis. J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland. In proceedings of IIR, 2021.

2020

• A passage-based approach to learning-to-rank documents. Eilon Sheetrit, Anna Shotk, Oren Kurland. Information Retrieval Journal, 23(2), pp 159--186, 2020.
• Ranking-Incentivized Quality Preserving Content Modification. Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber. In proceedings of SIGIR, pp 259--268, 2020. pdf
• Query Reformulation in E-Commerce Search. Sharon Hirsch, Ido Guy, Alexander Nus, Arnon Dagan, Oren Kurland. In proceedings of SIGIR, pp 1319--1328, 2020. pdf
• Cluster-Based Document Retrieval with Multiple Queries. Kfir Bernstein, Fiana Raiber, Oren Kurland, Shane Culpepper. In proceedings of ICTIR, pp 33--40, 2020. pdf
• Studying Ranking-Incentivized Web Dynamics. Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland. In proceedings of SIGIR, pp 2093--2096, 2020. pdf (Short paper)

2019

• Rethinking Search Engines and Recommendation Systems: A Game Theoretic Perspective. Moshe Tennenholtz and Oren Kurland. Communications of the ACM, 62(12), pp 66--75, 2019.
• Relevance Feedback: The Whole is Inferior to the Sum of its Parts. Fiana Raiber and Oren Kurland. ACM Transactions on Information Systems (TOIS), 37(4), pp 1--28, 2019.
• Information Needs, Queries, and Query Performance Prediction. Oleg Zendel, Anna Shtok, Fiana Raiber, Oren Kurland, Shane Culpepper. In proceedings of SIGIR, pp 395--404, 2019. pdf
• Query Performance Prediction for Pseudo-Feedback-Based Retrieval. Haggai Roitman and Oren Kurland. In proceedings of SIGIR, 2019. (Short paper; to appear)
• On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components. Fabio Zampieri, Kevin Roitero, J. Shane Culpepper, Oren Kurland, Stefano Mizzaro. (Short paper; to appear)
• Relevance Modeling with Multiple Query Variations. Xiaolu Lu, Oren Kurland, Shane Culpepper, Nick Craswell and Ofri Rom. In proceedings of ICTIR, pp 27--34, 2019. pdf
• A Comparative Analysis of Human and Automatic Query Variants. Binsheng Liu, Nick Craswell, Xiaolu Lu, Oren Kurland and J. Shane Culpepper. In proceedings of ICTIR, 2019. (Short paper; to appear)
• Cluster-based focused retrieval. Eilon Sheetrit and Oren Kurland. In proceedings of CIKM, 2019. (Short paper; to appear)

2018

• Ranking Robustness under Adversarial Document Manipulations. Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber. In proceedings of SIGIR, pp 395--404, 2018. pdf
• Testing the Cluster Hypothesis with Focused and Graded Relevance Judgments. Eilon Sheetrit, Anna Shtok, Oren Kurland. In proceedings of SIGIR, pp 1173--1176, 2018. (Short paper) pdf
• Selective cluster presentation on the search results page. Or Levi, Ido Guy, Fiana Raiber, Oren Kurland. ACM Transactions on Information Systems (TOIS), 36(3), 2018.
• Clustering Small-Sized Collections of Short Texts. Lili Kolterman, Ido Dagan, Oren Kurland. Information Retrieval Journal, 21(4), 273--306, 2018.

2017

• A Game Theoretic Analysis of the Adversarial Retrieval Setting. Ran Ben Basat, Moshe Tennenholtz, Oren Kurland. Journal of Artificial Intelligence Research (JAIR), 60, pp 1127--1164, 2017.
• Information retrieval meets game theory: The ranking competition between documents' authors. Nimrod Raifer, Fiana Raiber, Moshe Tennenholtz, Oren Kurland. In proceedings of SIGIR, pp 465--474, 2017. pdf
• Kullback-Leibler divergence revisited. Fiana Raiber and Oren Kurland. In proceedings of ACM SIGIR ICTIR, pp 117--124, 2017. pdf

2016

• Query Performance Prediction Using Reference Lists. Anna Shtok, Oren Kurland and David Carmel. ACM Transactions on Information Systems (TOIS), 34(4), 2016.
• Document Retrieval Using Entity-Based Language Models. Hadas Raviv, Oren Kurland, David Carmel. In proceedings of SIGIR, pp 65--74, 2016. pdf
• Query Anchoring Using Discriminative Query Models. Saar Kuzi, Anna Shtok, Oren Kurland. In proceedings of ACM SIGIR ICTIR, pp 219--228, 2016. pdf
• Supporting Human Answers for Advice-Seeking Questions in CQA Sites. Liora Braunstain, Oren Kurland, David Carmel, Idan Szpektor and Anna Shtok. In proceedings of ECIR, pp 129--141, 2016. pdf   Best paper honorable mention
• Selective Cluster-Based Document Retrieval. Or Levi, Fiana Raiber, Oren Kurland, Ido Guy. In proceedings of CIKM, pp 1473--1482, 2016. pdf
• A Probabilistic Fusion Framework. Yael Anava, Anna Shtok, Oren Kurland, Ella Rabinovich. In proceedings of CIKM, pp 1463--1472, 2016. pdf
• Query Expansion Using Word Embeddings. Saar Kuzi, Anna Shtok, Oren Kurland. In proceedings of CIKM, pp 1929--1932, 2016. (Short paper) pdf
• Utilizing Focused Relevance Feedback. Elinor Brondwine, Anna Shtok, Oren Kurland. In proceedings of SIGIR, 2016. (Short paper; to appear)
• New Collection Announcement: Focused Retrieval Over the Web. Ivan Habernal, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar Ilan, Iryna Gurevych. In proceedings of SIGIR, 2016. (Short paper; to appear)

2015

• The Probablity Ranking Principle is not Optimal in Adversarial Settings. Ran Ben Basat, Moshe Tennenholtz and Oren Kurland. In proceedings of ACM SIGIR ICTIR, 2015. pdf
• Learning Asymmetric Co-Relevance. Fiana Raiber, Oren Kurland, Filip Radlinski and Milad Shokouhi. In proceedings of ACM SIGIR ICTIR, 2015. pdf

2014

• Query-Performance Prediction: Setting the Expectations Straight. Fiana Raiber and Oren Kurland. In proceedings of SIGIR, pp 13--22, 2014. pdf
• Utilizing Relevance Feedback in Fusion-Based Retrieval. Ella Rabinovich, Ofri Rom, Oren Kurland. In proceedings of SIGIR, pp 313--322, 2014. pdf
• The Search Duel: A Response to a Strong Ranker. Peter Izsak, Fiana Raiber, Oren Kurland and Moshe Tennenholtz. In proceedings of SIGIR, pp 919--922, 2014. (Short paper) pdf
• Query Performance Prediction for Entity Retrieval. Hadas Raviv, Oren Kurland and David Carmel. In proceedings of SIGIR, pp 1099--1102, 2014. (Short paper) pdf
• The Correlation between Cluster Hypothesis Tests and the Effectiveness of Cluster-Based Retrieval. Fiana Raiber and Oren Kurland. In proceedings of SIGIR, pp 1155--1158, 2014. (Short paper) pdf
• Wikipedia-Based Query Performance Prediction. Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach. In proceedings of SIGIR, pp 1235--1238, 2014. (Short paper) pdf
• Using the Cross-Entropy Method to Re-Rank Search Results. Haggai Roitman, Shay Hummel and Oren Kurland. In proceedings of SIGIR, pp 839--842, 2014. (Short paper) pdf
• The Technion at TREC 2013 Web Track: Cluster-based Document Retrieval. Fiana Raiber and Oren Kurland. In proceedings of TREC, 2014. pdf

2013

• Ranking document clusters using markov random fields. Fiana Raiber and Oren Kurland. In proceedings of SIGIR, pp 333--342, 2013. pdf   Best paper honorable mention
• Query-performance prediction using minimal relevance feedback. Olga Butman, Anna Shotk, Oren Kurland, and David Carmel. In proceedings of the 3rd international conference on the theory of information retrieval (ICTIR), pp 14--21, 2013. pdf
• Using document-quality measures to predict Web-search effectiveness. Fiana Raiber and Oren Kurland. In proceedings of ECIR, pp 134--145, 2013. pdf
• The cluster hypothesis for entity oriented search. Hadas Raviv, Oren Kurland, David Carmel. In proceedings of SIGIR, pp 841--844, 2013. (Short paper) pdf
• Shame to be Sham: Addressing content-based grey hat search engine optimization. Fiana Raiber, Kevyn Collins-Thompson, Oren Kurland. In proceedings of SIGIR, pp 1013--1016, 2013. (Short paper) pdf
• Estimating query representativeness for query-performance prediction. Mor Sondak, Anna Shtok, Oren Kurland. In proceedings of SIGIR, pp 853--856, 2013. (Short paper) pdf
• Position-based contextualization for passage retrieval. David Carmel, Anna Shtok, Oren Kurland. In Proceedings of CIKM, pp 1241--1244, 2013. (Poster) pdf

2012

• Back to the Roots: A probabilistic framework for query-performance prediction. Oren Kurland, Anna Shtok, Shay Hummel, Fiana Raiber, David Carmel, Ofri Rom. In proceedings of CIKM, pp 823--832, 2012. pdf
• Predicting query performance for fusion-based retrieval. Gad Markovits, Anna Shtok, Oren Kurland, David Carmel. In proceedings of CIKM, pp 813--822, 2012. pdf
• Content-based relevance estimation on the Web using inter-document similarities. Fiana Raiber, Oren Kurland, Moshe Tennenholtz. In proceedings of CIKM, pp 1769-1773, 2012. (Short paper) pdf
• Query-performance prediction and cluster ranking: Two sides of the same coin. Oren Kurland, Fiana Raiber, Anna Shtok. In proceedings of CIKM, pp 2459--2462, 2012. (Poster) pdf
• Exploring the cluster hypothesis, and cluster-based retrieval, over the Web. Fiana Raiber and Oren Kurland. In proceedings of CIKM, pp 2507--2510, 2012. (Poster) pdf
• Predicting the performance of passage retrieval for question answering. Eyal Krikon, David Carmel, Oren Kurland. In proceedings of CIKM, pp 2451--2454, 2012. (Poster) pdf
• Predicting query performance by query-drift estimation. Anna Shtok, Oren Kurland, David Carmel, Fiana Raiber, Gad Markovits. ACM Transactions on Information Systems (TOIS), 30(2), 2012. (This is a journal version of the ICTIR '09 paper.)
• A ranking framework for entity oriented search using markov random fields. Hadas Raviv, David Carmel, Oren Kurland. 1st Joint International Workshop on Entity-oriented and Semantic Search (JIWES), SIGIR 2012. pdf
• Clarity re-visited. Shay Hummel, Anna Shtok, Fiana Raiber, Oren Kurland, David Carmel. In proceedings of SIGIR pp 1039--1040, 2012. (Poster) pdf
• Utilizing inter-document similarities in federated search. Savva Khalaman and Oren Kurland. In proceedings of SIGIR, pp 1169--1170, 2012. (Poster) pdf

2011

• A unified framework for post-retrieval query-performance prediction. Oren Kurland, Anna Shtok, David Carmel, and Shay Hummel. In proceedings of the 3rd international conference on the theory of information retrieval (ICTIR), pp 15--26, 2011. pdf
• Cluster-based fusion of retrieved lists. Anna Khudyak Kozorovitsky and Oren Kurland. In proceedings of SIGIR, pp 893--902, 2011. pdf
• Utilizing minimal relevance feedback for ad hoc retrieval. Eyal Krikon and Oren Kurland. In proceedings of SIGIR, pp 1099--1100, 2011. (Poster) pdf
• From "identical" to "similar": Fusing retrieved lists based on inter-document similarities. Anna Khudyak Kozorovitsky and Oren Kurland. Journal of Artificial Intelligence Research (JAIR), 41, pp 267--296, 2011. (This is a journal version of the ICTIR '09 paper.)
• Re-ranking search results using an additional retrieved list. Lior Meister, Oren Kurland, Inna Gelfer Kalmanovich. Journal of Information Retrieval, 14(4), pp 413--437, 2011.
• The opposite of smoothing: A language model approach to ranking query-specific document clusters. Oren Kurland and Eyal Krikon. Journal of Artificial Intelligence Research (JAIR), 41, pp 367-- 395, 2011. (This is a journal version of the SIGIR '08 paper.)
• A study of the integration of passage, document, and cluster -based information for re-ranking search results. Eyal Krikon and Oren Kurland. Journal of Information Retrieval, 14(6), pp 593--616, 2011.

2010

• On identifying representative relevant documents. Fiana Raiber and Oren Kurland. In proceedings of CIKM, pp 99-108, 2010. pdf
• Utilizing inter-passage and inter-document similarities for re-ranking search results. Eyal Krikon, Oren Kurland, Michael Bendersky. ACM Transactions on Information Systems (TOIS), 29(1), 2010. (This is a journal version of the CIKM '09 paper.)
• PageRank without hyperlinks: Structural re-ranking using links induced by language models. Oren Kurland and Lillian Lee. ACM Transactions on Information Systems (TOIS), 28(4), 2010. (This is a journal version of the SIGIR '05 paper.)
• Using statistical decision theory and relevance models for query-performance prediction. Anna Shtok, Oren Kurland, David Carmel. In proceedings of SIGIR, pp 259--266, 2010. pdf
• Utilizing passage-based language models for ad hoc document retrieval. Michael Bendersky and Oren Kurland. Journal of Information Retrieval, 13(2), pp 157--187, 2010. (This is a journal version of the ECIR '08 paper.)

2009

• Utilizing inter-passage and inter-document similarities for re-ranking search results. Eyal Krikon, Oren Kurland and Michael Bendersky. In proceedings of CIKM (short paper), pp 1597--1600, 2009. pdf (This version contains corrected performance numbers of the reference comparison InterPsgDoc, which in the proceedings version are higher.)
• From "identical" to "similar": Fusing retrieved lists based on inter-document similarities. Anna Khudyak Kozorovitsky and Oren Kurland. In proceedings of the 2nd international conference on the theory of information retrieval (ICTIR), pp 212--223, 2009. pdf
• Navigating in the dark: Modeling uncertainty in ad hoc retrieval using multiple relevance models. Natali Soskin, Oren Kurland, and Carmel Domshlak. In proceedings of the 2nd international conference on the theory of information retrieval (ICTIR), pp 79--91, 2009. pdf
• Predicting query performance by query-drift estimation. Anna Shtok, Oren Kurland, and David Carmel. In proceedings of the 2nd international conference on the theory of information retrieval (ICTIR), pp 305--312, 2009. (Short paper) pdf
• Cluster-based query expansion. Inna Gelfer Kalmanovich and Oren Kurland. In proceedings of SIGIR, pp 646--647, 2009. (Poster) pdf
• Integrating clusters created offline with query-specific clusters for document retrieval. Lior Meister, Oren Kurland and Inna Gelfer Kalmanovich. In proceedings of SIGIR, pp 706--707, 2009. (Poster) pdf
• Clusters, language models, and ad hoc information retrieval. Oren Kurland and Lillian Lee. ACM Transactions on Information Systems (TOIS), 27(3), 2009. (This is a journal version of the SIGIR '04 paper.)
• Re-ranking search results using language models of query-specific clusters. Oren Kurland. Journal of Information Retrieval, 12(4), pp 437--460, 2009.

2008

• The opposite of smoothing: A language model approach to ranking query-specific document clusters. Oren Kurland. In proceedings of SIGIR, pp 171--178, 2008. pdf
• A rank-aggregation approach to searching for optimal query-specific clusters. Oren Kurland and Carmel Domshlak. In proceedings of SIGIR, pp 547--554, 2008. pdf
• Re-ranking search results using document-passage graphs. Michael Bendersky and Oren Kurland. In proceedings of SIGIR (Poster), pp 853--854, 2008. pdf
• Query-drift prevention for robust query expansion. Liron Zighelnic and Oren Kurland. In proceedings of SIGIR (Poster), pp 85--86, 2008. pdf
• Utilizing passage-based language models for document retrieval. Michael Bendersky and Oren Kurland. In proceedings of ECIR, pp 162--174, 2008. pdf

2007

• Towards robust query expansion: Model selection in the language modeling framework. Mattan Winaver, Oren Kurland and Carmel Domshlak. In proceedings of SIGIR (Poster), pp 729--730, 2007. pdf

2006

• Respect my authority! HITS without hyperlinks, utilizing cluster-based language models. Oren Kurland and Lillian Lee. In proceedings of SIGIR 2006, pp 83--90, 2006. pdf   (This version contains three minor edits with respect to the proceedings version.)

2005

• Better than the real thing ? Iterative pseudo-query processing using cluster-based language models. Oren Kurland, Lillian Lee and Carmel Domshlak. In proceedings of SIGIR, pp 19--26, 2005. pdf
• PageRank without hyperlinks: Structural re-ranking using links induced by language models. Oren Kurland and Lillian Lee. In proceedings of SIGIR pp 306--313, 2005. pdf

2004

• Corpus Structure, Language Models, and Ad Hoc Information Retrieval. Oren Kurland and Lillian Lee. In proceedings of SIGIR, pp 194--201, 2004. pdf

Technical reports

• A passage-based approach to learning-to-rank documents. Eilon Sheetrit, Anna Shtok, Oren Kurland. CoRR, 2019.
• Two are better than one! Re-ranking search results using an additional retrieved list. Lior Meister, Oren Kurland and Inna Gelfer Kalmanovich. Technical report IE/IS-2009-01. pdf

Ph.D. thesis

Inter-document similarities, language models, and ad hoc information retrieval. August 2006 pdf

Contact Information

308 Bloomfield Hall
Faculty of Industrial Engineering and Management
Technion
Haifa 32000, Israel
Tel: 972-4-8293055 Fax: 972-4-8295688
email: kurland at ie.technion.ac.il