Intelligent recommendation method, system and device for article information during browsing of user

Abstract

The invention provides an intelligent recommendation method, system and device for article information when a user browses. Comprising the steps of pre-recommending article information according to purchase and/or binding data conditions of a user; based on collected user data and article data when a user browses an article through a network, constructing a database which takes the user and the article as dimensions and has a user scoring matrix; and when the collected user data and/or article data are/is changed, obtaining personalized article information suitable for the current user through a prediction model based on the user score matrix, and pushing the personalized article information to the current user. According to the scheme, various item information suitable for the current user can be quickly and efficiently recommended when the user browses through intelligent pushing, so that the searching, accessing and browsing efficiency of the user is improved, the user is quickly and accurately helped to find personalized commodity and article contents, the user experience is effectively improved, the user stickiness is enhanced, and the user experience is improved. And the sales volume of network commodities is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent recommendation of browsing data, in particular to a method, system and device for intelligent recommendation of items. Background technique [0002] With the rapid development and popularization of the mobile Internet, users' mobile terminals can not only control home appliances such as washing machines, refrigerators, air conditioners, etc., but also access various e-commerce platforms through various APPs to browse or purchase home appliances and through various product-related Articles to learn about washing and dressing. However, users face a wide range of home appliances and a large number of articles about washing, grooming, and clothing. Users need to spend a lot of time and energy to find useful, suitable, personalized, and interesting products or article content. , so that users cannot quickly search for information that meets their own needs, or that the various information recommen...

AI Technical Summary

Problems solved by technology

However, users face a wide range of home appliances and a large number of articles about washing, grooming, and clothing. Users need to spend a lot of time and energy to find useful, suitable, personalized, and interesting products or article content. , so that users cannot quickly search for information that meets their own needs, or that the various information recommended by the displayed information is inaccurate and inaccurate, the efficiency of search, access and browsing is low, the network traffic consumes a lot of resources and takes a long time, and it is easy to cause A large number of users occupy the resources of the website server at the same time and for a long time during a certain period of time, which reduces the user experience, making it difficult to improve the user stickiness of the network software terminal, and may even lead to the loss of potential consumers / users

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