Abstract
Recommendation system has been widely used in web platforms including content providers and E-commerce companies. Traditional recommendation system has difficulty making good recommendations when the information about the given user is insufficient, it is usually addressed as the Cold Start problem. Furthermore, user’s intent and interest can be varied with time. Therefore, it would be greatly helpful if we can make recommendations interactively with a given user, and it is very natural to do it in a dialogue system between the agent and the user. (Photo Credit: weheartit@daughterofdragon)
Members
- Wenqiang Lei (Graduate Student)
- Yisong Miao (Graduate Student)
- Xiangnan He (Research Fellow)
- Min-Yen Kan (Professor and Advisor)
Resources
Github Link, it is currently a private repo.