Method and system of object recommendation

Abstract

The application relates to the field of computer technology, and particularly to a method and a system of object recommendation. The method and the system are used for solving problems that price interval dividing existing in the prior art is liable to divide close prices into different sub-intervals, results of dividing are liable to be impacted by data smoothing methods, and thus objects recommended for users can be impacted. According to the embodiment of the application, iteration is carried out on a preset clustering center matrix and a clustering coefficient matrix according to an indexfeature data matrix, then target index intervals are determined, the target index intervals of a category which is the same as that of the object associated with a user are determined, an interval towhich a target index of the target associated with the user belongs is determined in the determined target index intervals, and recommendation is carried out to the user. According to the embodiment of the application, occurrence frequency of a case of dividing the close prices into the different sub-intervals can be reduced, impacts from the data smoothing methods can be reduced, and impacts on recommending the objects for the users can be reduced.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method and system for object recommendation. Background technique [0002] The network publishing platform is a platform where publishers publish their own products through the network, and users browse products through the network and interact with each other through the network. [0003] When publishing a product on the network publishing platform, the publisher will configure product information for the product. According to the product information, users can interact with the website publishing platform for a product. [0004] The current website publishing platform will recommend products to users. Which products are specifically recommended is determined by a recommendation system. [0005] Generally, the recommendation system will first determine the objects associated with the user and recommend other objects of the same category for the user. However, si...

AI Technical Summary

Problems solved by technology

[0011] The present application provides a method and system for object recommendation, which is used to solve the existing method of dividing price ranges in the prior art, which is easy to divide close prices into different sub-ranges, and the result of the division is easily affected by the data smoothing method, thus Issues that affect who is recommended for users

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