Information pushing method and device
A technology of information push and algorithm, which is applied in the field of recommendation system, can solve problems such as not being able to meet the specific needs of customers well and not being pertinent
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[0108] (1) According to user u's behavior data and time decay algorithm formula, calculate the user's degree of interest in each product label (ie, label weight) in the current time period (for example, nearly a week), and perform statistics on the calculation results to obtain user u The ranking of interest in each product label and the corresponding degree of interest in the past week, the specific content is shown in Table 1:
[0109] Interest Ranking Position product label name level of interest 1 label 1 0.9 2 label 2 0.87 3 label 3 0.867 …… …… …… i label i 0.3 …… …… ……
[0110] Table 1
[0111] Among them, the first preset threshold can be set to 0.3, and the product tags with the degree of interest lower than 0.3 are deleted to obtain the target interest ranking, that is, the product tags corresponding to 1~i in Table 1 and the corresponding degree of interest.
[0112] (2) By statistically summarizing the user ...
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