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System and Method of Personalizing Playlists Using Memory-Based Collaborative Filtering
System and Method of Personalizing Playlists Using Memory-Based Collaborative Filtering
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机译:使用基于内存的协同过滤个性化播放列表的系统和方法
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摘要
Systems and methods are provided for personalizing new song suggestions for a user. A plurality of users provides thumbs up and thumbs down ratings for a pair of songs (song A and B). A first aggregate rating for song B is calculated based on ratings given to song A by all of the users that gave a like rating to song A. Similarly, a second aggregate rating is calculated for song B based on ratings given to song B by all users that gave a dislike rating to song A. Then a user that has not previously rated song B, supplies a rating for song A. A prediction is performed of how the user will rate song B based on the user's rating of song A. For example, the first aggregate rating for song B is used if the user rated song A positively.
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