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2020 – today
- 2023
[i16]Lulu Yu, Yiting Wang, Xiaojie Sun, Keping Bi, Jiafeng Guo:
Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank. CoRR abs/2302.07530 (2023)- [i15]Xiaojie Sun, Lulu Yu, Yiting Wang, Keping Bi, Jiafeng Guo:
Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search. CoRR abs/2302.09340 (2023) - 2021
- [c13]Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz:
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. EACL 2021: 281-291 - [c12]Keping Bi, Qingyao Ai, W. Bruce Croft:
Asking Clarifying Questions Based on Negative Feedback in Conversational Search. ICTIR 2021: 157-166 - [c11]Keping Bi, Qingyao Ai, W. Bruce Croft:
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. SIGIR 2021: 123-132 - [c10]Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun:
Leveraging User Behavior History for Personalized Email Search. WWW 2021: 2858-2868 - [i14]Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun:
Leveraging User Behavior History for Personalized Email Search. CoRR abs/2102.07279 (2021) - [i13]Keping Bi, Qingyao Ai, W. Bruce Croft:
Asking Clarifying Questions Based on Negative Feedback in Conversational Search. CoRR abs/2107.05760 (2021) - 2020
- [j1]Qingyao Ai
, Yongfeng Zhang, Keping Bi, W. Bruce Croft:
Explainable Product Search with a Dynamic Relation Embedding Model. ACM Trans. Inf. Syst. 38(1): 4:1-4:29 (2020) - [c9]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Transformer-based Embedding Model for Personalized Product Search. SIGIR 2020: 1521-1524 - [i12]Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz:
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. CoRR abs/2004.06176 (2020) - [i11]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Review-based Transformer Model for Personalized Product Search. CoRR abs/2004.09424 (2020) - [i10]Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald:
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization. CoRR abs/2005.02146 (2020) - [i9]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Transformer-based Embedding Model for Personalized Product Search. CoRR abs/2005.08936 (2020)
2010 – 2019
- 2019
- [c8]Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft:
Conversational Product Search Based on Negative Feedback. CIKM 2019: 359-368 - [c7]Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
A Study of Context Dependencies in Multi-page Product Search. CIKM 2019: 2333-2336 - [c6]Keping Bi, Qingyao Ai, W. Bruce Croft:
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match. ECIR (1) 2019: 558-572 - [c5]Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
Leverage Implicit Feedback for Context-aware Product Search. eCOM@SIGIR 2019 - [i8]Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
Leverage Implicit Feedback for Context-aware Product Search. CoRR abs/1909.02065 (2019) - [i7]Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft:
Conversational Product Search Based on Negative Feedback. CoRR abs/1909.02071 (2019) - [i6]Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
A Study of Context Dependencies in Multi-page Product Search. CoRR abs/1909.04031 (2019) - [i5]Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft:
Explainable Product Search with a Dynamic Relation Embedding Model. CoRR abs/1909.07212 (2019) - 2018
- [c4]Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. SIGIR 2018: 135-144 - [c3]Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. SIGIR 2018: 385-394 - [i4]Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. CoRR abs/1804.05936 (2018) - [i3]Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. CoRR abs/1804.05938 (2018) - [i2]Keping Bi, Qingyao Ai, W. Bruce Croft:
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval. CoRR abs/1812.05731 (2018) - [i1]Keping Bi, Qingyao Ai, W. Bruce Croft:
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match. CoRR abs/1812.08870 (2018) - 2017
- [c2]Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft:
Learning a Hierarchical Embedding Model for Personalized Product Search. SIGIR 2017: 645-654 - 2012
- [c1]Chen Wang, Keping Bi, Yunhua Hu, Hang Li, Guihong Cao:
Extracting search-focused key n-grams for relevance ranking in web search. WSDM 2012: 343-352
Coauthor Index
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