A recommendation method and system integrating user behavior and item content
A technology for recommending methods and items, applied in special data processing applications, instruments, calculations, etc., to achieve the effect of improving accuracy, personalization, and accuracy
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[0034] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0035] see figure 1 , figure 1 It is a flow chart of the recommendation method for integrating user behavior and item content provided by the present invention, including the following steps:
[0036] Step S100, by associating the behavior data of each user with the content data of all items, to obtain a user interest list of each user for all item contents;
[0037] Step S200, calculate the similarity between the user interest list and the content data of all items, obtain the item weight recommended by each user for the item content data, and obtain the weight of each user by sorting...
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