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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 ...
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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...
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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...
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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...
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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...
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02/15/2021
Leveraging User Behavior History for Personalized Email Search
An effective email search engine can facilitate users' search tasks and ...
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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...
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04/20/2020
A Review-based Transformer Model for Personalized Product Search
In product search, customers make purchase decisions based on not only t...
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04/13/2020
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
Redundancy-aware extractive summarization systems score the redundancy o...
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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...
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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...
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09/04/2019
Conversational Product Search Based on Negative Feedback
Intelligent assistants change the way people interact with computers and...
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09/04/2019
Leverage Implicit Feedback for Context-aware Product Search
Product search serves as an important entry point for online shopping. I...
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12/20/2018
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match
Relevance feedback techniques assume that users provide relevance judgme...
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12/13/2018
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval
As more and more search traffic comes from mobile phones, intelligent as...
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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...
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04/16/2018
