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With the development of the mobile Internet and streaming media technology, digital music has been accepted by many people. However, in the face of the massive music data on the Internet, users want to find favorite music is like looking for a needle in a haystack via traditional music indexing techniques. In this paper, an improved algorithm for personalized music recommendation based on tag information...
The rapid expansion of user data and geographic location data in the location-based social networking applications, it is become increasingly difficult for users to quickly and accurately find the information they need. The characteristics of the traditional friend recommendation algorithm are analyzed and discussed in this paper. In order to improve the performance of friend recommendation, we proposed...
In view of the traditional based on user collaborative filtering algorithm has the neighbor set selection is not accurate. 1So propose a new similarity measure method, named score based on consistent with the collaborative filtering recommendation algorithm. The algorithm selects the user common rating data to calculate the user's similarity, considering the common score the consistency of the data...
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