Personalized recommendation method based on commodity property entropy
A product attribute and recommendation method technology, applied in marketing and other directions, can solve problems such as low efficiency of content recommendation, achieve the effect of maintaining the recommendation hit rate, effective recommendation, and improving diversity
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[0034] The present invention proposes a new way of analyzing user profile, figure 2 It is an example diagram of a user profile in the present invention. The figure shows a user profile with five attribute categories and statistics on brand attribute labels. The statistics of each attribute category will be converted into the entropy value of the corresponding category in the end, because it can be viewed globally become a user in a broad sense, so the global entropy value can also be obtained using this method. According to the entropy value of the user in different categories, combined with the entropy value of the overall category, the user category entropy value is converted into a weight. Use the weight to calculate the similarity between the products in the recommendation candidate set and the products seen by the current user, and complete the rearrangement of the original recommendation sequence. This method tends to recommend relatively unpopular products to users, th...
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