Cold-start recommendation method based on user preferences and trust
A recommendation method and cold-start technology, applied in data processing applications, character and pattern recognition, instruments, etc., can solve problems such as one-sidedness in the accuracy of comprehensive similarity, and failure to effectively improve the accuracy of personalized recommendation for cold users.
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[0069] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.
[0070] The technical scheme that the present invention solves the problems of the technologies described above is:
[0071] The invention discloses a cold start recommendation method based on user preference and trust, such as figure 1 shown, including the following steps:
[0072] The first step is to construct the user's trust relationship matrix. get as figure 2 The user trust relationship matrix is shown in the figure, and the trust relationship network between users is obtained based on it. Such as image 3 As shown, it is the trust relationship network between users, and the arrow indicates that the two are friends. For example, U1 points to U2, which means that U1 and U2 are direct friends, ...
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