Buying behavior-based recommendation method and device

Abstract

The invention relates to a buying behavior-based recommendation method and device. The method comprises the following steps of: counting the first effective order quantity generated by advertising within unit time; counting the second effective order quantity generated by malls within the unit time; and comparing the first effective order quantity with the second effective order quantity to obtain a buying interest sequence table of a user, wherein if the first effective order quantity is greater than the second effective order quantity, the advertising channel is superior to the malls in the buying interest sequence table of the user; if the first effective order quantity is less than the second effective order quantity, the malls are superior to the advertising channel in the buying interest sequence table of the user. The invention has the following beneficial effects: an interesting promotion way is delivered to the user according to the behavior situation of the user, then an advertising platform can select a more reasonable promotion way based on the buying behaviors of the user, and various promotion resources are utilized more reasonably.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of multimedia information processing, and in particular to a recommendation method and device based on purchase behavior. Background technique [0002] Generally speaking, for the same advertising platform, the advertisements produced by different sponsors will be launched at a specific time without any difference, regardless of the current number of user groups, user group personality characteristics and user groups, etc., so that within the advertising time It is impossible to effectively push advertisements to user groups, and the effect of advertisement delivery is far from reaching the promotional purpose expected by sponsoring users. [0003] At present, while some TV programs are being broadcast live, in order to allow viewers and users to participate better, they can generally participate in the live broadcast of the program through other communication platforms such as the ...

AI Technical Summary

Problems solved by technology

[0004] For the same user, the user is usually only interested in one type of promotional resources. For example, after the user forms a habit, he only browses the advertisement and chooses to ignore the mall, or on the contrary, he only browses the mall or chooses the mall to make a purchase. Ignoring advertisements and continuing to place neglected promotion types will cause a great waste of promotion type resources, which is not conducive to the full realization of the promotion value of the advertising platform. At present, there is no solution or device that can solve this problem.

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