Proposal of Tourism Keyword Recommendation via Gaze-Aware Multimodal Content Analysis

Abstract

In our research, we are developing a keyword recommendation system for tourism-related search terms by extracting user preferences from gazing sentences and still images obtained based on the user's gaze information while browsing websites. However, many Web sightseeing sites contain not only text and still images, but also “explanatory videos” of sightseeing spots. Therefore, we propose the addition of a function for extracting user preferences from content containing gazing videos to existing system.