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Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract).

, , , , , and . IJCAI, page 6504-6508. ijcai.org, (2023)

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Investigating Fine-Grained Usefulness Perception Process in Mobile Search., , , , , and . CCIR, volume 12285 of Lecture Notes in Computer Science, page 17-28. Springer, (2020)Unbiased Learning to Rank: Online or Offline?, , , and . CoRR, (2020)THUIR at the NTCIR-14 WWW-2 Task., , , , , , and . NTCIR, volume 11966 of Lecture Notes in Computer Science, page 165-179. Springer, (2019)Investigating COVID-19-Related query logs of Chinese search engine users., , , , and . ASIST, volume 57 of Proc. Assoc. Inf. Sci. Technol., Wiley, (2020)TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions., , , , and . CIKM, page 2485-2488. ACM, (2019)Improving Search Snippets in Context-Aware Web Search Scenarios., , , , and . CCIR, volume 12285 of Lecture Notes in Computer Science, page 3-16. Springer, (2020)SIGIR 2019 Tutorial on Explainable Recommendation and Search., , and . SIGIR, page 1417-1418. ACM, (2019)Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study., , , and . CoRR, (2024)Investigating Examination Behavior in Mobile Search., , , , , and . WSDM, page 771-779. ACM, (2020)Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models., , , and . CoRR, (2024)