Accurate personalized recommendation method based on purchasing information

Abstract

The invention provides an accurate personalized recommendation method based on purchasing information. The accurate personalized recommendation method based on the purchase information comprises the following steps of obtaining information of suppliers and purchasers, storing data, carrying out data preprocessing on the obtained information, collecting words meeting the specified part-of-speech, collecting candidate tags based on the collected words, selecting a recommendation algorithm which most meets requirements from methods based on collaborative filtering recommendation, content recommendation and combined recommendation, circularly traversing purchased candidate tags, performing tag extraction on the candidate tags to obtain a tag set, selecting suppliers ranked at the top, and recommending the purchasing information to the purchaser matched with the purchasing information. The invention provides a brand-new point cloud registration method system, which can accurately match purchase information with suppliers in a personalized manner and recommend the purchase information with personalized recommendation characteristics to the suppliers.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an accurate personalized recommendation method based on purchasing information. Background technique [0002] In recent years, Internet information has grown exponentially. Recommendation systems can help users find items of interest, and are currently widely used in e-commerce, search engines, video music sites, and social networks. If you want to shop online, the recommendation system will help you choose satisfactory products; if you want to know information, the recommendation system will prepare interesting news for you; It will provide you with short videos that make you want to stop; if you want to close your eyes and rest your mind, the recommendation system will play music for you. It can be said that the recommendation system has never affected people's lives like it does now. [0003] With the development of Internet technology, suppliers can find more and more type...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an accurate and personalized recommendation method based on procurement information, and its purpose is to solve the technical problem of accurately matching procurement information to accurate suppliers with complicated information in the massive data in the background technology

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