the most popular and widely used preference recommendation systems are based on the traditional collaborative filtering algorithms [1-2]. The core idea of the traditional collaborative filtering recommendation algorithm is to calculate the similarity among users based on the existing "user-commodity score matrix"
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  • Bayesian Algorithm

    With the rapid development of Internet technology, personal customization services have been widely used in television programs, music recommendation, e-commerce, etc, which has made the recommen...

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    2021-09-16