2 papers
cs.CV2023
Multi-Label Feature Selection Using Adaptive and Transformed Relevance
Sadegh Eskandari, Sahar Ghassabi
Multi-label learning has emerged as a crucial paradigm in data analysis, addressing scenarios where instances are associated with multiple class labels simultaneously. With the gro…
cs.IR2023
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review
Siamak Farshidi, Kiyan Rezaee, Sara Mazaheri +5
Context: User intent modeling is a crucial process in Natural Language Processing that aims to identify the underlying purpose behind a user's request, enabling personalized respon…