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Learning Multi-granularity Dynamic Network Representations for Social Recommendation., , и . ECML/PKDD (2), том 11052 из Lecture Notes in Computer Science, стр. 691-708. Springer, (2018)A Sign Expansion Approach to Dynamic, Multi-Purpose Lexicons., и . COLING, стр. 478-483. (1996)Context-Aware User-Driven News Recommendation., , и . INRA@RecSys, том 1542 из CEUR Workshop Proceedings, стр. 33-36. CEUR-WS.org, (2015)Use of Tailored Process Models to Support ERP End-Users., , и . ISTA, том P-84 из LNI, стр. 119-130. GI, (2006)Improving Context-Awareness on Multi-Turn Dialogue Modeling with Extractive Summarization Techniques., и . NLDB, том 13913 из Lecture Notes in Computer Science, стр. 478-488. Springer, (2023)Using Language Models for Classifying the Party Affiliation of Political Texts., , и . NLDB, том 13286 из Lecture Notes in Computer Science, стр. 382-393. Springer, (2022)ImpactWheel: Visual Analysis of the Impact of Online News., , , и . Web Intelligence, стр. 465-474. IEEE Computer Society, (2011)A Survey on Challenges and Methods in News Recommendation., , и . WEBIST (2), стр. 278-285. SciTePress, (2014)Understanding Requirements in Enterprise Systems Projects.. RE, стр. 176-185. IEEE Computer Society, (2004)A Flexible Workbench for Document Analysis and Text Mining., , и . NLDB, том 3136 из Lecture Notes in Computer Science, стр. 336-347. Springer, (2004)