Recommendation of Preferable Photo Contents

This paper presents a recommendation module which provides preferable photo contents to the user from among the huge amount of photo contents in UMPC database. To extract the preferable photo to user, we use a hybrid approach that is combined with context and content-base approach using data mining concept. Using two vectors concerned with the user profile and the photo metadata, we can calculate the cosine similarity between them. The higher cosine similarity indicates that relevant photo content is more preferable. The experimental results showed that our proposed algorithm has high potential to give high satisfaction to the user. Index Terms —user profile, data mining, similarity measure, smart phone, UMPC (Ultra-Mobile Person Computers)