Recommendation method for next interest point of social network
A technology of social network and recommendation method, applied in the fields of instruments, data processing applications, digital data information retrieval, etc., can solve the problems of data sparseness and difficulty in recommendation, and achieve the effect of strong parallel computing ability and reducing computing complexity.
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[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific examples.
[0027] Generally speaking, the user's past historical trajectory shows the user's preference. First of all, since users show different preferences of users at different times. For example, the user may prefer POIs near the company during weekdays; on weekends, the user may prefer POIs near home. At the same time, users also show different interest preferences in different time ranges of the day. For example, during tea time, the user may choose a leisure POI such as a coffee shop; during dinner time, the user may choose to go to a POI such as a bar after dinner. So, users show different preferences at different times. Therefore, the present invention uses the Transformer model to learn complex and diverse long-term preferences of users. Secondly, since the user's rece...
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