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- W4384656021 abstract "Conversational Recommender Systems (CRS) aim to provide personalized and contextualized recommendations through natural language conversations with users. The objective of my proposed dissertation is to capitalize on the recent developments in conversational interfaces to advance the field of Recommender Systems in several directions. I aim to address several problems in recommender systems: user and item representation, justification generation, and data sparsity." @default.
- W4384656021 created "2023-07-19" @default.
- W4384656021 creator A5062032746 @default.
- W4384656021 date "2023-07-18" @default.
- W4384656021 modified "2023-09-23" @default.
- W4384656021 title "Exploring User and Item Representation, Justification Generation, and Data Augmentation for Conversational Recommender Systems" @default.
- W4384656021 doi "https://doi.org/10.1145/3539618.3591795" @default.
- W4384656021 hasPublicationYear "2023" @default.
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