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The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation.

, , , , и . SIGIR, стр. 3099-3107. ACM, (2022)

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Nicola Tonellotto

Nicola Galabaroff

Rudolf Nicola

Nicola Damianoff

Nicola Degen

 

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PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval., , , и . CIKM, стр. 4526-4533. ACM, (2021)On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval., и . CIKM, стр. 3318-3322. ACM, (2021)Query Embedding Pruning for Dense Retrieval., и . CIKM, стр. 3453-3457. ACM, (2021)Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021., , , , и . TREC, том 500-335 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2021)Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020., , , , и . TREC, том 1266 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)A Geometric Framework for Query Performance Prediction in Conversational Search., , , , и . SIGIR, стр. 1355-1365. ACM, (2023)indxr: A Python Library for Indexing File Lines., и . ECIR (5), том 14612 из Lecture Notes in Computer Science, стр. 251-255. Springer, (2024)Integrating Item Relevance in Training Loss for Sequential Recommender Systems., , , и . RecSys, стр. 1114-1119. ACM, (2023)Learning to Rank for Non Independent and Identically Distributed Datasets., , и . ICTIR, стр. 71-79. ACM, (2024)Multiple Query Processing via Logic Function Factoring., и . SIGIR, стр. 937-940. ACM, (2019)