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The effects of time on query flow graph-based models for query suggestion.

, , , , , and . RIAO, page 182-189. CID - Le Centre de Hautes Etudes Internationales D'Informatique Documentaire, (2010)

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Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks., , , and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 501-516. Springer, (2020)The effects of time on query flow graph-based models for query suggestion., , , , , and . RIAO, page 182-189. CID - Le Centre de Hautes Etudes Internationales D'Informatique Documentaire, (2010)Aging effects on query flow graphs for query suggestion., , , , , and . CIKM, page 1947-1950. ACM, (2009)Resource discovery support for time-critical adaptive applications., , , , , , and . IWCMC, page 504-508. ACM, (2010)An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors., , , and . CoRR, (2023)ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval., , , and . SIGIR, page 3456-3459. ACM, (2023)ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval., , , , and . SIGIR, page 3051-3054. ACM, (2024)Rewriting Conversational Utterances with Instructed Large Language Models., , , , and . WI/IAT, page 56-63. IEEE, (2023)Efficient Multi-Vector Dense Retrieval Using Bit Vectors., , and . CoRR, (2024)The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation., , , , and . SIGIR, page 3099-3107. ACM, (2022)