TuneSensor: A Semantic-Driven Music Recommendation Service For Digital Photo Albums
نویسندگان
چکیده
Digital photo album softwares like iPhoto have enjoyed great popularity for years. These years, online photo album services (e.g., Flickr and Picasa) have been becoming more and more popular with the development of social Web. In this paper, we demonstrate our effort called TuneSensor to recommend music for photo albums automatically. In particular, we exploit semantic data to represent both images and music. Furthermore, we leverage mining techniques to capture semantic relatedness between these different types of multimedia data, which is the essential step for recommendation.
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