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ORCIDOren Kurland
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- affiliation: Technion - Israel Institute of Technology, Haifa, Israel
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2020 – today
- 2024
[c89]Haya Nachimovsky
, Moshe Tennenholtz, Fiana Raiber, Oren Kurland:
Ranking-Incentivized Document Manipulations for Multiple Queries. ICTIR 2024: 61-70- [c88]Tommy Mordo, Moshe Tennenholtz, Oren Kurland:
Sponsored Question Answering. ICTIR 2024: 167-173 - [c87]Liron Tyomkin, Oren Kurland:
Analyzing Fusion Methods Using the Condorcet Rule. SIGIR 2024: 2281-2285 - [c86]Oz Huly, Idan Pogrebinsky, David Carmel, Oren Kurland, Yoelle Maarek:
Old IR Methods Meet RAG. SIGIR 2024: 2559-2563 - [i14]Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber, Oren Kurland:
Competitive Retrieval: Going Beyond the Single Query. CoRR abs/2404.09253 (2024) - [i13]Tommy Mordo, Moshe Tennenholtz, Oren Kurland:
Sponsored Question Answering. CoRR abs/2407.04471 (2024) - 2023
- [c85]Itay Harel, Hagai Taitelbaum, Idan Szpektor, Oren Kurland:
Sentence Retrieval for Open-Ended Dialogue Using Dual Contextual Modeling. ECIR (1) 2023: 426-440 - [c84]Eilon Sheetrit, Fiana Raiber, Oren Kurland:
Entity-Based Relevance Feedback for Document Retrieval. ICTIR 2023: 177-187 - [c83]Liron Tyomkin, Oren Kurland:
Revisiting Condorcet Fusion. ICTIR 2023: 199-204 - [c82]Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations. ICTIR 2023: 205-214 - 2022
- [j18]J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland:
Topic Difficulty: Collection and Query Formulation Effects. ACM Trans. Inf. Syst. 40(1): 19:1-19:36 (2022) - [c81]Egor Markovskiy, Fiana Raiber, Shoham Sabach, Oren Kurland:
From Cluster Ranking to Document Ranking. SIGIR 2022: 2137-2141 - [c80]Oren Kurland, Moshe Tennenholtz:
Competitive Search. SIGIR 2022: 2838-2849 - [c79]Itay Harel, Hagai Taitelbaum, Idan Szpektor, Oren Kurland:
A Dataset for Sentence Retrieval for Open-Ended Dialogues. SIGIR 2022: 2960-2969 - [i12]Itay Harel, Hagai Taitelbaum, Idan Szpektor, Oren Kurland:
A Dataset for Sentence Retrieval for Open-Ended Dialogues. CoRR abs/2205.11685 (2022) - 2021
- [c78]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Driving the Herd: Search Engines as Content Influencers. CIKM 2021: 586-595 - [c77]Eilon Sheetrit, Yaroslav Fyodorov, Fiana Raiber, Oren Kurland:
Recommending Search Queries in Documents Using Inter N-Gram Similarities. ICTIR 2021: 211-220 - [c76]J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland:
Do Hard Topics Exist? A Statistical Analysis. IIR 2021 - [i11]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Driving the Herd: Search Engines as Content Influencers. CoRR abs/2110.11166 (2021) - 2020
- [j17]Eilon Sheetrit, Anna Shtok, Oren Kurland:
A passage-based approach to learning to rank documents. Inf. Retr. J. 23(2): 159-186 (2020) - [c75]Kfir Bernstein, Fiana Raiber, Oren Kurland, J. Shane Culpepper:
Cluster-Based Document Retrieval with Multiple Queries. ICTIR 2020: 33-40 - [c74]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking-Incentivized Quality Preserving Content Modification. SIGIR 2020: 259-268 - [c73]Sharon Hirsch, Ido Guy, Alexander Nus, Arnon Dagan, Oren Kurland:
Query Reformulation in E-Commerce Search. SIGIR 2020: 1319-1328 - [c72]Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland:
Studying Ranking-Incentivized Web Dynamics. SIGIR 2020: 2093-2096 - [i10]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking-Incentivized Quality Preserving Content Modification. CoRR abs/2005.12989 (2020) - [i9]Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland:
Studying Ranking-Incentivized Web Dynamics. CoRR abs/2005.13810 (2020)
2010 – 2019
- 2019
- [j16]Moshe Tennenholtz, Oren Kurland:
Rethinking search engines and recommendation systems: a game theoretic perspective. Commun. ACM 62(12): 66-75 (2019) - [j15]Fiana Raiber, Oren Kurland:
Relevance Feedback: The Whole Is Inferior to the Sum of Its Parts. ACM Trans. Inf. Syst. 37(4): 44:1-44:28 (2019) - [c71]Eilon Sheetrit, Oren Kurland:
Cluster-Based Focused Retrieval. CIKM 2019: 2305-2308 - [c70]Xiaolu Lu, Oren Kurland, J. Shane Culpepper, Nick Craswell, Ofri Rom:
Relevance Modeling with Multiple Query Variations. ICTIR 2019: 27-34 - [c69]Binsheng Liu, Nick Craswell, Xiaolu Lu, Oren Kurland, J. Shane Culpepper:
A Comparative Analysis of Human and Automatic Query Variants. ICTIR 2019: 47-50 - [c68]Oleg Zendel, Anna Shtok, Fiana Raiber, Oren Kurland, J. Shane Culpepper:
Information Needs, Queries, and Query Performance Prediction. SIGIR 2019: 395-404 - [c67]Fabio Zampieri, Kevin Roitero, J. Shane Culpepper, Oren Kurland, Stefano Mizzaro:
On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components. SIGIR 2019: 909-912 - [c66]Haggai Roitman, Oren Kurland:
Query Performance Prediction for Pseudo-Feedback-Based Retrieval. SIGIR 2019: 1261-1264 - [i8]Eilon Sheetrit, Anna Shtok, Oren Kurland:
A Passage-Based Approach to Learning to Rank Documents. CoRR abs/1906.02083 (2019) - 2018
- [j14]Lili Kotlerman, Ido Dagan, Oren Kurland:
Clustering small-sized collections of short texts. Inf. Retr. J. 21(4): 273-306 (2018) - [j13]Or Levi, Ido Guy, Fiana Raiber, Oren Kurland:
Selective Cluster Presentation on the Search Results Page. ACM Trans. Inf. Syst. 36(3): 28:1-28:42 (2018) - [c65]Binsheng Liu, Xiaolu Lu, Oren Kurland, J. Shane Culpepper:
Improving Search Effectiveness with Field-based Relevance Modeling. ADCS 2018: 11:1-11:4 - [c64]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking Robustness Under Adversarial Document Manipulations. SIGIR 2018: 395-404 - [c63]Eilon Sheetrit, Anna Shtok, Oren Kurland, Igal Shprincis:
Testing the Cluster Hypothesis with Focused and Graded Relevance Judgments. SIGIR 2018: 1173-1176 - [c62]Oren Kurland, J. Shane Culpepper:
Fusion in Information Retrieval: SIGIR 2018 Half-Day Tutorial. SIGIR 2018: 1383-1386 - [i7]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking Robustness Under Adversarial Document Manipulations. CoRR abs/1806.04425 (2018) - 2017
- [j12]Ran Ben-Basat, Moshe Tennenholtz, Oren Kurland:
A Game Theoretic Analysis of the Adversarial Retrieval Setting. J. Artif. Intell. Res. 60: 1127-1164 (2017) - [c61]Oren Kurland:
Information Retrieval Meets Game Theory. ICTIR 2017: 1 - [c60]Fiana Raiber, Oren Kurland:
Kullback-Leibler Divergence Revisited. ICTIR 2017: 117-124 - [c59]Nimrod Raifer, Fiana Raiber, Moshe Tennenholtz, Oren Kurland:
Information Retrieval Meets Game Theory: The Ranking Competition Between Documents? Authors. SIGIR 2017: 465-474 - 2016
- [j11]Anna Shtok, Oren Kurland, David Carmel:
Query Performance Prediction Using Reference Lists. ACM Trans. Inf. Syst. 34(4): 19:1-19:34 (2016) - [c58]Yael Anava, Anna Shtok, Oren Kurland, Ella Rabinovich:
A Probabilistic Fusion Framework. CIKM 2016: 1463-1472 - [c57]Or Levi, Fiana Raiber, Oren Kurland, Ido Guy:
Selective Cluster-Based Document Retrieval. CIKM 2016: 1473-1482 - [c56]Saar Kuzi, Anna Shtok, Oren Kurland:
Query Expansion Using Word Embeddings. CIKM 2016: 1929-1932 - [c55]Liora Braunstain, Oren Kurland, David Carmel, Idan Szpektor, Anna Shtok:
Supporting Human Answers for Advice-Seeking Questions in CQA Sites. ECIR 2016: 129-141 - [c54]Saar Kuzi, Anna Shtok, Oren Kurland:
Query Anchoring Using Discriminative Query Models. ICTIR 2016: 219-228 - [c53]Hadas Raviv, Oren Kurland, David Carmel:
Document Retrieval Using Entity-Based Language Models. SIGIR 2016: 65-74 - [c52]Ivan Habernal, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, Iryna Gurevych:
New Collection Announcement: Focused Retrieval Over the Web. SIGIR 2016: 701-704 - [c51]Elinor Brondwine, Anna Shtok, Oren Kurland:
Utilizing Focused Relevance Feedback. SIGIR 2016: 1061-1064 - 2015
- [c50]Ran Ben-Basat, Moshe Tennenholtz, Oren Kurland:
The Probability Ranking Principle is Not Optimal in Adversarial Retrieval Settings. ICTIR 2015: 51-60 - [c49]Fiana Raiber, Oren Kurland, Filip Radlinski, Milad Shokouhi:
Learning Asymmetric Co-Relevance. ICTIR 2015: 281-290 - 2014
- [c48]Oren Kurland:
The Cluster Hypothesis in Information Retrieval. ECIR 2014: 823-826 - [c47]Fiana Raiber, Oren Kurland:
Query-performance prediction: setting the expectations straight. SIGIR 2014: 13-22 - [c46]Ella Rabinovich, Ofri Rom, Oren Kurland:
Utilizing relevance feedback in fusion-based retrieval. SIGIR 2014: 313-322 - [c45]Haggai Roitman, Shay Hummel, Oren Kurland:
Using the cross-entropy method to re-rank search results. SIGIR 2014: 839-842 - [c44]Peter Izsak, Fiana Raiber, Oren Kurland, Moshe Tennenholtz:
The search duel: a response to a strong ranker. SIGIR 2014: 919-922 - [c43]Hadas Raviv, Oren Kurland, David Carmel:
Query performance prediction for entity retrieval. SIGIR 2014: 1099-1102 - [c42]Fiana Raiber, Oren Kurland:
The correlation between cluster hypothesis tests and the effectiveness of cluster-based retrieval. SIGIR 2014: 1155-1158 - [c41]Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach:
Wikipedia-based query performance prediction. SIGIR 2014: 1235-1238 - [i6]Anna Khudyak Kozorovitzky, Oren Kurland:
From "Identical" to "Similar": Fusing Retrieved Lists Based on Inter-Document Similarities. CoRR abs/1401.3883 (2014) - [i5]Oren Kurland, Eyal Krikon:
The Opposite of Smoothing: A Language Model Approach to Ranking Query-Specific Document Clusters. CoRR abs/1401.3896 (2014) - 2013
- [c40]David Carmel, Anna Shtok, Oren Kurland:
Position-based contextualization for passage retrieval. CIKM 2013: 1241-1244 - [c39]Fiana Raiber, Oren Kurland:
Using Document-Quality Measures to Predict Web-Search Effectiveness. ECIR 2013: 134-145 - [c38]Olga Butman, Anna Shtok, Oren Kurland, David Carmel:
Query-Performance Prediction Using Minimal Relevance Feedback. ICTIR 2013: 7 - [c37]Fiana Raiber, Oren Kurland:
Ranking document clusters using markov random fields. SIGIR 2013: 333-342 - [c36]Hadas Raviv, Oren Kurland, David Carmel:
The cluster hypothesis for entity oriented search. SIGIR 2013: 841-844 - [c35]Mor Sondak, Anna Shtok, Oren Kurland:
Estimating query representativeness for query-performance prediction. SIGIR 2013: 853-856 - [c34]Fiana Raiber, Kevyn Collins-Thompson, Oren Kurland:
Shame to be sham: addressing content-based grey hat search engine optimization. SIGIR 2013: 1013-1016 - [c33]Oren Kurland:
The cluster hypothesis in information retrieval. SIGIR 2013: 1126 - [c32]Fiana Raiber, Oren Kurland:
The Technion at TREC 2013 Web Track: Cluster-based Document Retrieval. TREC 2013 - [e2]Oren Kurland, Donald Metzler, Christina Lioma, Birger Larsen, Peter Ingwersen:
International Conference on the Theory of Information Retrieval, ICTIR '13, Copenhagen, Denmark, September 29 - October 02, 2013. ACM 2013, ISBN 978-1-4503-2107-5 [contents] - [e1]Oren Kurland, Moshe Lewenstein, Ely Porat:
String Processing and Information Retrieval - 20th International Symposium, SPIRE 2013, Jerusalem, Israel, October 7-9, 2013, Proceedings. Lecture Notes in Computer Science 8214, Springer 2013, ISBN 978-3-319-02431-8 [contents] - 2012
- [j10]Anna Shtok, Oren Kurland, David Carmel, Fiana Raiber, Gad Markovits:
Predicting Query Performance by Query-Drift Estimation. ACM Trans. Inf. Syst. 30(2): 11:1-11:35 (2012) - [c31]Gad Markovits, Anna Shtok, Oren Kurland, David Carmel:
Predicting query performance for fusion-based retrieval. CIKM 2012: 813-822 - [c30]Oren Kurland, Anna Shtok, Shay Hummel, Fiana Raiber, David Carmel, Ofri Rom:
Back to the roots: a probabilistic framework for query-performance prediction. CIKM 2012: 823-832 - [c29]Fiana Raiber, Oren Kurland, Moshe Tennenholtz:
Content-based relevance estimation on the web using inter-document similarities. CIKM 2012: 1769-1773 - [c28]Eyal Krikon, David Carmel, Oren Kurland:
Predicting the performance of passage retrieval for question answering. CIKM 2012: 2451-2454 - [c27]Oren Kurland, Fiana Raiber, Anna Shtok:
Query-performance prediction and cluster ranking: two sides of the same coin. CIKM 2012: 2459-2462 - [c26]Fiana Raiber, Oren Kurland:
Exploring the cluster hypothesis, and cluster-based retrieval, over the web. CIKM 2012: 2507-2510 - [c25]Shay Hummel, Anna Shtok, Fiana Raiber, Oren Kurland, David Carmel:
Clarity re-visited. SIGIR 2012: 1039-1040 - [c24]Savva Khalaman, Oren Kurland:
Utilizing inter-document similarities in federated search. SIGIR 2012: 1169-1170 - [c23]Donald Metzler, Oren Kurland:
Experimental methods for information retrieval. SIGIR 2012: 1185-1186 - [c22]David Carmel, Oren Kurland:
Query performance prediction for IR. SIGIR 2012: 1196-1197 - 2011
- [j9]Lior Meister, Oren Kurland, Inna Gelfer Kalmanovich:
Re-ranking search results using an additional retrieved list. Inf. Retr. 14(4): 413-437 (2011) - [j8]Eyal Krikon, Oren Kurland:
A study of the integration of passage-, document-, and cluster-based information for re-ranking search results. Inf. Retr. 14(6): 593-616 (2011) - [j7]Anna Khudyak Kozorovitzky, Oren Kurland:
From "Identical" to "Similar": Fusing Retrieved Lists Based on Inter-Document Similarities. J. Artif. Intell. Res. 41: 267-296 (2011) - [j6]Oren Kurland, Eyal Krikon:
The Opposite of Smoothing: A Language Model Approach to Ranking Query-Specific Document Clusters. J. Artif. Intell. Res. 41: 367-395 (2011) - [c21]Oren Kurland, Anna Shtok, David Carmel, Shay Hummel:
A Unified Framework for Post-Retrieval Query-Performance Prediction. ICTIR 2011: 15-26 - [c20]Anna Khudyak Kozorovitzky, Oren Kurland:
Cluster-based fusion of retrieved lists. SIGIR 2011: 893-902 - [c19]Eyal Krikon, Oren Kurland:
Utilizing minimal relevance feedback for ad hoc retrieval. SIGIR 2011: 1099-1100 - 2010
- [j5]Michael Bendersky, Oren Kurland:
Utilizing passage-based language models for ad hoc document retrieval. Inf. Retr. 13(2): 157-187 (2010) - [j4]Oren Kurland, Lillian Lee:
PageRank without hyperlinks: Structural reranking using links induced by language models. ACM Trans. Inf. Syst. 28(4): 18:1-18:38 (2010) - [j3]Eyal Krikon, Oren Kurland, Michael Bendersky:
Utilizing inter-passage and inter-document similarities for reranking search results. ACM Trans. Inf. Syst. 29(1): 3:1-3:28 (2010) - [c18]Fiana Raiber, Oren Kurland:
On identifying representative relevant documents. CIKM 2010: 99-108 - [c17]Anna Shtok, Oren Kurland, David Carmel:
Using statistical decision theory and relevance models for query-performance prediction. SIGIR 2010: 259-266
2000 – 2009
- 2009
- [j2]Oren Kurland:
Re-ranking search results using language models of query-specific clusters. Inf. Retr. 12(4): 437-460 (2009) - [j1]Oren Kurland, Lillian Lee:
Clusters, language models, and ad hoc information retrieval. ACM Trans. Inf. Syst. 27(3): 13:1-13:39 (2009) - [c16]Eyal Krikon, Oren Kurland, Michael Bendersky:
Utilizing inter-passage and inter-document similarities for re-ranking search results. CIKM 2009: 1597-1600 - [c15]Natali Levi-Soskin, Oren Kurland, Carmel Domshlak:
Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models. ICTIR 2009: 79-91 - [c14]Anna Khudyak Kozorovitzky, Oren Kurland:
From "Identical" to "Similar": Fusing Retrieved Lists Based on Inter-document Similarities. ICTIR 2009: 212-223 - [c13]Anna Shtok, Oren Kurland, David Carmel:
Predicting Query Performance by Query-Drift Estimation. ICTIR 2009: 305-312 - [c12]Inna Gelfer Kalmanovich, Oren Kurland:
Cluster-based query expansion. SIGIR 2009: 646-647 - [c11]Lior Meister, Oren Kurland, Inna Gelfer Kalmanovich:
Integrating clusters created offline with query-specific clusters for document retrieval. SIGIR 2009: 706-707 - 2008
- [c10]Michael Bendersky, Oren Kurland:
Utilizing Passage-Based Language Models for Document Retrieval. ECIR 2008: 162-174 - [c9]Oren Kurland:
The opposite of smoothing: a language model approach to ranking query-specific document clusters. SIGIR 2008: 171-178 - [c8]Oren Kurland, Carmel Domshlak:
A rank-aggregation approach to searching for optimal query-specific clusters. SIGIR 2008: 547-554 - [c7]Liron Zighelnic, Oren Kurland:
Query-drift prevention for robust query expansion. SIGIR 2008: 825-826 - [c6]Michael Bendersky, Oren Kurland:
Re-ranking search results using document-passage graphs. SIGIR 2008: 853-854 - [i4]Oren Kurland, Lillian Lee:
Respect My Authority! HITS Without Hyperlinks, Utilizing Cluster-Based Language Models. CoRR abs/0804.3599 (2008) - 2007
- [c5]Mattan Winaver, Oren Kurland, Carmel Domshlak:
Towards robust query expansion: model selection in the language modeling framework. SIGIR 2007: 729-730 - 2006
- [b1]Oren Kurland:
Inter-Document Similiarities, Language Models, and Ad Hoc Information Retrieval. Cornell University, USA, 2006 - [c4]Oren Kurland, Lillian Lee:
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models. SIGIR 2006: 83-90 - [i3]Oren Kurland, Lillian Lee:
PageRank without hyperlinks: Structural re-ranking using links induced by language models. CoRR abs/cs/0601045 (2006) - [i2]Oren Kurland, Lillian Lee, Carmel Domshlak:
Better than the real thing? Iterative pseudo-query processing using cluster-based language models. CoRR abs/cs/0601046 (2006) - 2005
- [c3]Oren Kurland, Lillian Lee, Carmel Domshlak:
Better than the real thing?: iterative pseudo-query processing using cluster-based language models. SIGIR 2005: 19-26 - [c2]Oren Kurland, Lillian Lee:
PageRank without hyperlinks: structural re-ranking using links induced by language models. SIGIR 2005: 306-313 - 2004
- [c1]Oren Kurland, Lillian Lee:
Corpus structure, language models, and ad hoc information retrieval. SIGIR 2004: 194-201 - [i1]Oren Kurland, Lillian Lee:
Corpus structure, language models, and ad hoc information retrieval. CoRR cs.IR/0405044 (2004)
Coauthor Index
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