Eyal Krikon

2024

doi dblp
Why Do Customers Return Products? Using Customer Reviews to Predict Product Return Behaviors.
Hao Fei Cheng|Eyal Krikon|Vanessa Murdock
Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2024, Sheffield, United Kingdom, March 10-14, 2024

2022

doi dblp
Pairwise Review-Based Explanations for Voice Product Search.
Gustavo Penha|Eyal Krikon|Vanessa Murdock
CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14 - 18, 2022

2012

doi dblp
Predicting the performance of passage retrieval for question answering.
Eyal Krikon|Ann-Marie Eklund|David Carmel|Oren Kurland
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

2011

doi dblp
A study of the integration of passage-, document-, and cluster-based information for re-ranking search results.
Eyal Krikon|Oren Kurland
Discover Computing 2011 Volume 14 Issue 6
doi dblp
Utilizing minimal relevance feedback for ad hoc retrieval.
Eyal Krikon|Oren Kurland
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011

2010

doi dblp
Utilizing inter-passage and inter-document similarities for reranking search results.
Eyal Krikon|Oren Kurland|Michael Bendersky
ACM Transactions on Information Systems (TOIS) 2010 Volume 29 Issue 1

2009

doi dblp
Utilizing inter-passage and inter-document similarities for re-ranking search results.
Eyal Krikon|Oren Kurland|Michael Bendersky
Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009