@MISC{Yang_pinterestboard, author = {Xitong Yang and Yuncheng Li and Jiebo Luo}, title = {Pinterest Board Recommendation for Twitter Users}, year = {} }
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Abstract
Pinboard on Pinterest is an emerging media to engage on-line social media users, on which users post online images for specific topics. Regardless of its significance, there is little previous work specifically to facilitate information discov-ery based on pinboards. This paper proposes a novel pin-board recommendation system for Twitter users. In order to associate contents from the two social media platforms, we propose to use MultiLabel classification to map Twitter user followees to pinboard topics and visual diversification to recommend pinboards given user interested topics. A pre-liminary experiment on a dataset with 2000 users validated our proposed system.