On the real-time web as a source of recommendation knowledge
Proceedings of the fourth ACM conference on Recommender systems
Service replacement algorithm using complex network
Transactions on Edutainment VIII
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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 WoM's 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.