With the advent of the World Wide Web, it has captured and accumulated 'Word-of-Mouth (WoM)' such as reviews, comments, user ratings, and etc., about cultural contents including movies. We paid attention to WoMpsilas role as cultural metadata. 'Recommendation systems' are services which recommend users new items such as news articles, books, music, and movies they would like. We developed a simple and low-cost movie recommendation system harnessing vast cultural metadata, about movies, existing on the Web. Then we evaluated the system, and analyzed its strength. As a result, we could be aware of the potential of cultural metadata.
['Shinhyun Ah', 'Chung-Kon Shi']
Exploring Movie Recommendation System Using Cultural Metadata