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Social networks form an important platform for information sharing and interaction among users. The content from social networks can be used to generate recommendations for users in order to help them to choose what they desire. There exist a lot of recommendation methods currently. In this paper, we propose a keyword
Real-time keywords potentially demonstrate positive effects when they are provided in cross-cultural communication. Previously real-time keywords generated by a speaker during talking were investigated, and it was found it contributes to build mutual understanding and knowledge. However the use of keywords was not
Social recommender systems leverage collaborative filtering (CF) to serve users with content that is of potential interesting to active users. A wide spectrum of CF schemes has been proposed. However, most of them cannot deal with the cold-start problem that denotes a situation that social media sites fail to draw recommendation for new items, users or both. In addition, they regard that all ratings...
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