Host: Japan Society for Fuzzy Theory and Intelligent Informatics
This paper proposes a TV program recommendation system based on human-robot casual communication under living environment. In these days, partner robots which live together with human are promising for various applications. For the purposes, partner robots do not only have to follow user's every command for prearranged procedures and services, but also communicate with humans in similar ways as human to human communication. In this paper, we propose a human-robot communication system for recommending TV program and related information based on user's interests. The system gathers user's TV watching log and his/her utterances with speech recognition module, based on which his/her interests are estimated and represented as a user profile with the form of bookmarks. A user profile is used for recommending information in which the user is interested. This paper introduces the system architecture and the algorithm for generating user profiles from TV watching logs.
