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Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.

, , , and . RecSys Posters, volume 1441 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)

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Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations., , , , and . RecSys, page 187-198. ACM, (2021)A Dataset of Real Dialogues for Conversational Recommender Systems., , and . CLiC-it, volume 2481 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems., , , , and . CLiC-it, volume 2769 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances., , and . ICCSA (4), volume 12252 of Lecture Notes in Computer Science, page 135-149. Springer, (2020)Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013., , , , , and . RecSys, page 483-484. ACM, (2013)Knowledge infusion into content-based recommender systems., , , and . RecSys, page 301-304. ACM, (2009)Integrating a Content-Based Recommender System into Digital Libraries for Cultural Heritage., , , , and . IRCDL, volume 91 of Communications in Computer and Information Science, page 27-38. Springer, (2010)Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles., , , , and . UMAP, volume 7899 of Lecture Notes in Computer Science, page 350-352. Springer, (2013)Introduction to Emotions and Personality in Personalized Systems., , , , and . Emotions and Personality in Personalized Services, Springer, (2017)Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features., , , , , and . itaDATA, volume 3340 of CEUR Workshop Proceedings, page 87-98. CEUR-WS.org, (2022)