Search Results for author:
Found 3 papers, 1 papers with code
Comparative Snippet Generation
We model product reviews to generate comparative responses consisting of positive and negative experiences regarding the product.
Interactive Path Reasoning on Graph for Conversational Recommendation
Traditional recommendation systems estimate user preference on items from past interaction history, thus suffering from the limitations of obtaining fine-grained and dynamic user preference.
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems
Recommender systems are embracing conversational technologies to obtain user preferences dynamically, and to overcome inherent limitations of their static models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
