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2020 – today
- 2024
[c6]Hao Fei Cheng
, Eyal Krikon, Vanessa Murdock:
Why Do Customers Return Products? Using Customer Reviews to Predict Product Return Behaviors. CHIIR 2024: 12-22- 2022
- [c5]Gustavo Penha, Eyal Krikon, Vanessa Murdock, Sandeep Avula:
Helping Voice Shoppers Make Purchase Decisions. CHI Extended Abstracts 2022: 266:1-266:8 - [c4]Gustavo Penha, Eyal Krikon, Vanessa Murdock:
Pairwise Review-Based Explanations for Voice Product Search. CHIIR 2022: 300-304
2010 – 2019
- 2014
- [i1]Oren Kurland, Eyal Krikon:
The Opposite of Smoothing: A Language Model Approach to Ranking Query-Specific Document Clusters. CoRR abs/1401.3896 (2014) - 2012
- [c3]Eyal Krikon, David Carmel, Oren Kurland:
Predicting the performance of passage retrieval for question answering. CIKM 2012: 2451-2454 - 2011
- [j3]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) - [j2]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) - [c2]Eyal Krikon, Oren Kurland:
Utilizing minimal relevance feedback for ad hoc retrieval. SIGIR 2011: 1099-1100 - 2010
- [j1]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)
2000 – 2009
- 2009
- [c1]Eyal Krikon, Oren Kurland, Michael Bendersky:
Utilizing inter-passage and inter-document similarities for re-ranking search results. CIKM 2009: 1597-1600
Coauthor Index
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