Large-scale interactive conversational recommendation system using actor-critic framework
We propose AC-CRS, a novel conversational recommendation system based on
reinforcement learning that better models user interaction compared to prior work. Interactive …
reinforcement learning that better models user interaction compared to prior work. Interactive …
Learning relevant questions for conversational product search using deep reinforcement learning
A Montazeralghaem, J Allan - … Conference on Web Search and Data …, 2022 - dl.acm.org
We propose RelQuest, a conversational product search model based on reinforcement
learning to generate questions from product descriptions in each round of the conversation …
learning to generate questions from product descriptions in each round of the conversation …
Extracting Relevant Information from User's Utterances in Conversational Search and Recommendation
A Montazeralghaem, J Allan - Proceedings of the 28th ACM SIGKDD …, 2022 - dl.acm.org
Conversational search and recommendation systems can ask clarifying questions through
the conversation and collect valuable information from users. However, an important …
the conversation and collect valuable information from users. However, an important …