Abstract
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. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Ahn, S., & Shi, C. K. (2009). Exploring movie recommendation system using cultural metadata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5660 LNCS, pp. 119–134). https://doi.org/10.1007/978-3-642-03270-7_9
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