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UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis.

, , , , , and . NAACL-HLT, page 3449-3456. Association for Computational Linguistics, (2022)

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Capturing collection size for distributed non-cooperative retrieval., , , and . SIGIR, page 316-323. ACM, (2006)Updating collection representations for federated search., , and . SIGIR, page 511-518. ACM, (2007)Fighting search engine amnesia: reranking repeated results., , , and . SIGIR, page 273-282. ACM, (2013)Learning to personalize query auto-completion.. SIGIR, page 103-112. ACM, (2013)Using query logs to establish vocabularies in distributed information retrieval, , , and . Information Processing & Management, 43 (1): 169--180 (January 2007)Did You Say U2 or YouTube?: Inferring Implicit Transcripts from Voice Search Logs., , and . WWW, page 1215-1224. ACM, (2016)When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages., , , , , and . NAACL-HLT (Industry Papers), page 1-9. Association for Computational Linguistics, (2021)Central-Rank-Based Collection Selection in Uncooperative Distributed Information Retrieval.. ECIR, volume 4425 of Lecture Notes in Computer Science, page 160-172. Springer, (2007)Evaluating User Actions as a Proxy for Email Significance., , , , , and . WWW, page 26-36. ACM, (2019)LambdaMerge: merging the results of query reformulations., , , and . WSDM, page 795-804. ACM, (2011)