"A Knowledge Graph-based Interactive Recommender System Using Reinforce" by Ruoxi Sun, Jun Yan et al.
To achieve the personalisation recommendation, modem recommendation models should consider the user's preference for item attributes and dynamic changes in preferences. 1RS has attracted attention to dealing with dynamic user preferences. However, current 1RS models share a common issue of sparse user-interaction data for training an effective recommendation policy. In this paper, we propose a knowledge graph-based interactive recommender system (KGIRS) to improve the recommendation by considering the users' dynamic preference for item attributes' weight. This interactive recomm...
Source: uow.edu.au