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Collaborative filtering recommendation algorithm is one of the most successful technologies in the e-commerce recommendation system. With the development of e-commerce, the magnitudes of users and commodities grow rapidly; the performance of traditional recommendation algorithm is getting worse. So propose a new similarity measure method, automatically generate weighting factor to combine dynamically...
The platform and community of social network have become a major trend of people's work and life, and collaborative filtering is the most popular method currently. This paper analyzed the disadvantages of the traditional collaborative filtering, and proposed an improved algorithm of personalized recommendation based on collaborative filtering in SNS, which increase the efficiency of the recommendation...
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