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A Multilingual Approach for Unsupervised Search Task Identification
2020
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Users convert their information needs to search queries, which are then run on available search engines. Query logs registered by search engines enable the automatic identification of the search tasks that users perform to fulfill their information needs. Search engine logs contain queries in multiple languages, but most existing methods for search task identification are not multilingual. Some methods rely on search context training of custom embeddings or external indexed collections that
doi:10.1145/3397271.3401258
dblp:conf/sigir/LugoMH20a
fatcat:uuw6eugy7bc2jp3r6re6mzfoee