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pro vyhledávání: '"Rabiah, Ahmad Bin"'
Conversational recommendation systems (CRS) leverage contextual information from conversations to generate recommendations but often struggle due to a lack of collaborative filtering (CF) signals, which capture user-item interaction patterns essentia
Externí odkaz:
http://arxiv.org/abs/2412.06949
Customers reach out to online live chat agents with various intents, such as asking about product details or requesting a return. In this paper, we propose the problem of predicting user intent from browsing history and address it through a two-stage
Externí odkaz:
http://arxiv.org/abs/2408.04668
Autor:
Rabiah, Ahmad Bin, Guo, Qi
Conventional image signal processing (ISP) frameworks are designed to reconstruct an RGB image from a single raw measurement. As multi-camera systems become increasingly popular these days, it is worth exploring improvements in ISP frameworks by inco
Externí odkaz:
http://arxiv.org/abs/2211.07390