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By analyzing the common sparse problems of the score data in the collaborative filtering recommendation system, this paper presents a recommendation method for mobile networks based on user characteristics and user trust relationship. In this method, the similarity of user characteristic attributes is used to modify the similarity calculating of the original score. Then, according to the communication...
Based on the analysis of the sparse problem and the cold start problem in the traditional collaborative filtering recommendation, a new collaborative filtering recommendation algorithm based on adaptive nearest neighbor selection is proposed. The algorithm considers the influence factors of user characteristics and item attributes, and then calculates the nearest neighbor sets of target users and...
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