Recommendation method for searching target user and matching target product for automobile industry

Abstract

The invention relates to data processing and recommendation in a computer technology and discloses a recommendation method for searching a target user and matching a target product for an automobile industry. A corresponding automobile product is automatically recommended for the target user with a purchasing intention, so that the marketing cost of companies is reduced. The method can be concluded as follows: a, a pre-treatment phase of data mainly aims at knowing and analyzing a task of a system and reducing dimensions of original data through steps of cleaning data, integrating and simplifying and the like, so that target data used for a predication phase is generated; b, the predication phase mainly aims at finding the target user with the purchasing intention according to an association rule, and an attribute vector is obtained by knowing about preference attributes corresponding to the target user through a manner of obtaining network search recording mining of the target user or a questionnaire survey manner; finally, the similarity between users is calculated by adopting a user-attribute scoring matrix through a collaborative filtering algorithm, so that a predicated result is given based on the similarity; c, an evaluation phase aims at evaluating the predicated result. The recommendation method is applicable to recommendation of automobile products.

Description

technical field [0001] The invention relates to data processing and recommendation in computer technology, in particular to a recommendation method for finding target users and matching target products for the automobile industry. Background technique [0002] With the rapid development of network technology, information technology and computer technology, as early as 2010, the world has entered the era of big data. Then, how to accurately discover the user's purchase preference and make recommendations to it is the key point of the present invention. Patent CN1629884A proposes an information recommendation method based on fuzzy logic, which matches the target product with the user's historical consumption, and then outputs the target user's interest in the product. The invention can be applied to the recommendation of TV programs, shopping and Internet information. Patent 201310433589 collects user preference information, then finds similar users or items based on user pr...

AI Technical Summary

Problems solved by technology

[0003] However, the automobile industry is different from general retail products. Ordinary users do not buy cars frequently. That is to say, any two users may not have common rating items. Therefore, traditional recommendation algorithms may not be able to find similar users.

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