Evaluation recording method based on credible friends

Abstract

The invention discloses an evaluation recording method based on credible friends. The evaluation recording method based on the credible friends comprises the steps that property information of the friends of a user is acquired based on property information of the user; purchase records of the friends and evaluation information of commodities purchased by the friends are acquired; display behavior options, corresponding to different display modes, for the user to select are set in a system according to system score display of the evaluation information; the user selects different display behaviors according to a user demand, and the evaluation information of the commodities purchased by all the friends is subjected to system module display according to the display behaviors selected by the user; and modules include a prior search module, a prior recommendation module and a prior activity check and selection module. Through the method, the commodities with high scores can be recommended or displayed to the user first through the purchase evaluation record information of the credible friends, screening pressure of the user is relieved, the credibility of commodity display is enhanced, and the success rate of purchase is increased.

Description

technical field [0001] The invention relates to the technical field of e-commerce, in particular to an evaluation recording method based on trusted friends. Background technique [0002] At present, e-commerce platforms usually provide a display module for the products that users need most, and provide a search function. The user enters a product keyword to get a list of products related to the product keyword. However, the traditional products and the sorted display of the searched results Generally, it will be based on the degree of relevance, and the current ranking is often based on the number of product clicks, payment methods, etc. Therefore, many merchants want to rank their products at the top, and may conduct illegal order swiping to accumulate popularity and sales. The correlation degree is improved, so the products and search sorting display on the business platform are relatively chaotic at present. Most of the sorted products come from unfamiliar merchants and u...

AI Technical Summary

Problems solved by technology

[0002] At present, e-commerce platforms usually provide a display module for the products that users need most, and provide a search function. The user enters a product keyword to get a list of products related to the product keyword. However, the traditional products and the sorted display of the searched results Generally, it will be based on the degree of relevance, and the current ranking is often based on the number of product clicks, payment methods, etc. Therefore, many merchants want to rank their products at the top, and may conduct illegal order swiping to accumulate popularity and sales. The correlation degree is improved, so the products and search sorting display on the business platform are relatively chaotic at present. Most of the sorted products come from unfamiliar merchants and users, and the credibility of the evaluation is not high, which increases the pressure on users to filter information. Long-term screening is also required, and it is difficult to quickly screen the products you are satisfied with

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