Item-based explicit and implicit feedback mixing collaborative filtering recommendation algorithm
A collaborative filtering recommendation and implicit feedback technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as neglect
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[0057] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0058] As an improved collaborative filtering recommendation algorithm, the present invention can be applied to almost all websites and systems with ratings, such as Douban and Youku. Through these websites and systems, it is possible to easily obtain the viewing time, behavioral operations, and item rating data of each user for each item, and provide each user with personalized recommendations for items that have not been browsed and rated through the processing of the background recommendation module. Including the following steps:
[0059] (1) The server obtains the user's interest information on each item by tracking the user's access, and uses the obtained interest information to establish a rating matrix for each user for all items (that is, the user-item rating matrix) according to the set scoring principles. ,Such as figure 1 shown;
[0060] Items ...
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