Recommending method and equipment for sequencing-oriented collaborative filtering
A collaborative filtering and recommendation method technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve problems such as large computational overhead, no learning involved, and insufficient methods, so as to reduce computational costs, improve accuracy and Convenience, the effect of reducing computational overhead
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[0023] Multiple implementations of the present invention will be described in detail below with reference to the accompanying drawings.
[0024] figure 1 is a flowchart schematically showing a recommendation method for ranking-oriented collaborative filtering according to the present invention.
[0025] Such as figure 1 As shown in , at step 110, the user's preference data for the sorted item pairs is obtained. At step 120, according to the preference data and user and item-related data, a user preference-based pLPA model (described in detail below) is constructed. At step 130, using the pLPA model, predict item ranking based on user preference for recommendation to the user.
[0026] figure 2 is a block diagram schematically showing a ranking-oriented collaborative filtering recommendation system 200 based on pLPA according to an embodiment of the present invention.
[0027] Such as figure 2 As shown in , the system mainly includes a pLPA model generation unit 230 and...
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