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Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021., , , , and . TREC, volume 500-335 of 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., , , , and . TREC, volume 1266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)indxr: A Python Library for Indexing File Lines., and . ECIR (5), volume 14612 of Lecture Notes in Computer Science, page 251-255. Springer, (2024)PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval., , , and . CIKM, page 4526-4533. ACM, (2021)On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval., and . CIKM, page 3318-3322. ACM, (2021)Query Embedding Pruning for Dense Retrieval., and . CIKM, page 3453-3457. ACM, (2021)A Geometric Framework for Query Performance Prediction in Conversational Search., , , , and . SIGIR, page 1355-1365. ACM, (2023)Integrating Item Relevance in Training Loss for Sequential Recommender Systems., , , and . RecSys, page 1114-1119. ACM, (2023)Learning to Rank for Non Independent and Identically Distributed Datasets., , and . ICTIR, page 71-79. ACM, (2024)Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items., , and . RecSys, page 912-917. ACM, (2024)