A Dialogue System Recommending Query Sentences in Consideration of User Interest
Yosuke Seki, Yoshihiko Ueno · 2018
We design and develop a dialogue system with collaborative filtering (CF), analyzing user histories to users and weighted information. For users who do not know what to ask, the system recommends query sentences that users should ask, considering user interest. We aim to apply the system to public relation activities of universities.