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Answering Top-k Exemplar Trajectory Queries.

, , , , , и . ICDE, стр. 597-608. IEEE Computer Society, (2017)

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Shane Squires

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Shane Fresnoza

 

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Efficient in-memory top-k document retrieval., , и . SIGIR, стр. 225-234. ACM, (2012)A Survey on Trajectory Data Management, Analytics, and Learning, , , и . ACM Computing Surveys, 54 (2): 1--36 (апреля 2021)Facility Relocation Search For Good: When Facility Exposure Meets User Convenience., , , , и . WWW, стр. 3937-3947. ACM, (2023)Balancing ​Efficiency and Effectiveness ​Trade-offs in Large Scale Multi-Stage Search Engines.. DESIRES, том 2167 из CEUR Workshop Proceedings, стр. 8. CEUR-WS.org, (2018)Do Hard Topics Exist? A Statistical Analysis., , , и . IIR, том 2947 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)RMIT at the 2017 TREC CORE Track., , , , , , , и . TREC, том 500-324 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2017)sMARE: An Enhanced Query Performance Prediction Evaluation Approach (Discussion Paper)., , , , и . SEBD, том 2994 из CEUR Workshop Proceedings, стр. 235-242. CEUR-WS.org, (2021)Bayesian Inferential Risk Evaluation On Multiple IR Systems., , , и . SIGIR, стр. 339-348. ACM, (2020)Dynamic Ridesharing in Peak Travel Periods., , , и . CoRR, (2020)Information Needs, Queries, and Query Performance Prediction., , , , и . SIGIR, стр. 395-404. ACM, (2019)