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Research On Information And Information Intelligent Recommendation System Based On WeChat Platform

Posted on:2017-07-20Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhangFull Text:PDF
GTID:2348330512959686Subject:Software engineering
Abstract/Summary:PDF Full Text Request
WeChat is a kind of mobile chatting software which can quickly send sound messages?messages?videos?pictures and letters.Multi-chatting is supported either.Since its born in January 2011,in a short period of five years,the number of users has add up to more than 800 million people,with more than 550 million active user.Wechat public number,which run at the platform of Wechat,amount to 10 billion.It can provide users with various public Wechat numbers to exchange information.This article is a comprehensive analysis of the data from pointed webpage by PHP of the Wechat platform and automatically serve for the public Wechat number users with rich and timely information.Message from public Wechat number is send by the form of pictures and letters,but,it can't be divided automatically by itself.User with diverse interest can reflect different respondent in the same article.Intelligent push is a significant path to improve user experience.At the same time,it is a great performance of hobby socialization in the time of mobile internet.In practice,Intelligent push can automatically adjust?crawl and push the more interesting information to the users through a variety of interest analysis algorithm.It identify the user's reading habits by word segmentation?vector analysis and some other intelligent analysis.It largely enhance the user's reading experience add stickiness.And finally serve for further development and promoting of push system.Through the extensive analysis of the user's reading habits,the precision of word segmentation is higher than that of the vector analysis method in the short term,but the segmentation method is only the accumulation of users 'interest keywords.With the increase of users' reading and data growth,Lexicon is bound to become increasingly large,the system will gradually reduce the efficiency of processing.Facing of massive data,content classification through the dictionary need to be further improved.The exploration of intelligent algorithm in the practical application will be worked more in-depth in the future.Although the micro-public platform and other interest-recommended mobile phone applications performs in different ways of transmission,but they work out identically.To actualize the information pattern of "a thousand people with thousand faces" at user-centric basic.Eventually abandon the traditional portal "a thousand people with one face" by user's requirement and accurate algorithm.Through the research results of this paper,we can provide a new mode of operation for the micro-information public number and better serve the readers.
Keywords/Search Tags:WeChat, intelligent recommendation, PHP, MYSQL
PDF Full Text Request
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