Method and system suitable for categorizing and recommending e-commerce commodities and information

Abstract

The invention discloses a method suitable for categorizing and recommending e-commerce commodities and information. A product attribute is taken as a categorization form of the existing e-commerce website. According to the method for application, the commodities and information message are categorized through a crowd attribute or personal characteristic information. The method comprises a crowd category list, a crowd category tag, a recommendation commodity and recommendation information list corresponding to the crowd category tag, a replacement button by which a user can perform other selections, and a commodity replacement list. The invention also discloses a system suitable for categorizing and recommending e-commerce commodities and information, the above method is realized through a recommendation categorization server of the system, and the system comprises management modules and management units for managing the above functions. The categorization and recommendation method based on the crowd attribute and the personal characteristic information comprising sex, age, occupation, hobbies and interests and the like can be used for providing the user with more individual housekeeping services, and can be used for providing e-commerce enterprises with marketing which is much more accurate.

Description

technical field [0001] The invention relates to the Internet field, and is particularly suitable for commodity classification and recommendation of comprehensive B2C e-commerce websites, and also for information classification and recommendation based on B2C e-commerce websites. Background technique [0002] Traditional brick-and-mortar stores (supermarkets) classify products according to product attributes, such as food, cosmetics, clothing, electrical appliances, etc., and each large category will also have small categories. The purpose of classification and placement is to facilitate users (customers) to find the products they need. When customers need several different products, they only need to choose to buy according to the order of classification. [0003] The product classification of existing e-commerce websites also follows the principle of physical stores. Amazon, the originator of e-commerce in the United States, and China's JD.com, Dangdang, Yihaodian, etc. are...

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention will provide a method and system for classification and recommendation of commodities and information suitable for e-commerce websites, and solve the problems of existing e-commerce websites that the classification of commodities and information has no personality, the recommendation is not accurate enough, and the recommendation lags behind.

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