Keping Bi | DeepAI

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Wei Chen
332 publications
Xueqi Cheng
129 publications
Jiafeng Guo
84 publications
Chunyuan Li
84 publications
Asli Celikyilmaz
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Qingyao Ai
57 publications
W. Bruce Croft
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Yixing Fan
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Yongfeng Zhang
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Cheng Luo
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Xinyu Ma
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∙ 08/22/2023

L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations

First-stage retrieval is a critical task that aims to retrieve relevant ...

0 Yinqiong Cai, et al. ∙

∙ 08/22/2023

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval

Grounded on pre-trained language models (PLMs), dense retrieval has been...

0 Xiaojie Sun, et al. ∙

∙ 02/18/2023

Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search

An effective ranking model usually requires a large amount of training d...

0 Xiaojie Sun, et al. ∙

∙ 02/15/2023

Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank

Unbiased learning to rank (ULTR) aims to mitigate various biases existin...

0 Lulu Yu, et al. ∙

∙ 07/12/2021

Asking Clarifying Questions Based on Negative Feedback in Conversational Search

Users often need to look through multiple search result pages or reformu...

0 Keping Bi, et al. ∙

∙ 02/15/2021

Leveraging User Behavior History for Personalized Email Search

An effective email search engine can facilitate users' search tasks and ...

0 Keping Bi, et al. ∙

∙ 05/18/2020

A Transformer-based Embedding Model for Personalized Product Search

Product search is an important way for people to browse and purchase ite...

0 Keping Bi, et al. ∙

∙ 04/20/2020

A Review-based Transformer Model for Personalized Product Search

In product search, customers make purchase decisions based on not only t...

0 Keping Bi, et al. ∙

∙ 04/13/2020

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization

Redundancy-aware extractive summarization systems score the redundancy o...

0 Keping Bi, et al. ∙

∙ 09/16/2019

Explainable Product Search with a Dynamic Relation Embedding Model

Product search is one of the most popular methods for customers to disco...

0 Qingyao Ai, et al. ∙

∙ 09/09/2019

A Study of Context Dependencies in Multi-page Product Search

In product search, users tend to browse results on multiple search resul...

0 Keping Bi, et al. ∙

∙ 09/04/2019

Conversational Product Search Based on Negative Feedback

Intelligent assistants change the way people interact with computers and...

0 Keping Bi, et al. ∙

∙ 09/04/2019

Leverage Implicit Feedback for Context-aware Product Search

Product search serves as an important entry point for online shopping. I...

0 Keping Bi, et al. ∙

∙ 12/20/2018

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match

Relevance feedback techniques assume that users provide relevance judgme...

0 Keping Bi, et al. ∙

∙ 12/13/2018

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval

As more and more search traffic comes from mobile phones, intelligent as...

0 Keping Bi, et al. ∙

∙ 04/16/2018

Unbiased Learning to Rank with Unbiased Propensity Estimation

Learning to rank with biased click data is a well-known challenge. A var...

0 Qingyao Ai, et al. ∙

∙ 04/16/2018

Learning a Deep Listwise Context Model for Ranking Refinement

Learning to rank has been intensively studied and widely applied in info...

0 Qingyao Ai, et al. ∙

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