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Design And Implementation Of Tech News Recommendation System Based On IOS

Posted on:2016-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:T LiFull Text:PDF
GTID:2308330461978269Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of mobile technology, the phone has become an indispensable tool in people’s in daily life and work. Given the convenience of mobile devices, the use of mobile devices to view the news has become a habit. Currently many news clients exist on the market, but not many for the technology news. So, for this problem, we designed a complete system for tech news recommendation, saving user’s time to find tech news.The technology news recommendation system based on the iOS platform includes iPhone client and server two parts. The clients use ASIHTTPRequest to connect with server, using j son format (except pictures). Working with MRC model, it is useful to be familiar with the Objective-C memory mechanisms; Server using restful design ideas, using spring framework with the client through http protocol for data exchange. Newsgathering partially achieved a reptile subsystem. After classifying by word segmentation algorithm news category, and then go heavy. Then extract the contents, if there are pictures, to deal with a unified picture. Collaborative recommendation algorithm run regularly, according to user preferences from the client item filtering recommendation based calculation, the result is stored to redis database. Because of the cold start problem with this recommendation algorithm, based on the introduction of the second news category recommended by the press as a supplemental heat. Comments can filter sensitive word filtering part by a special character delimited.Client features include:user registration landing, pull the news, reading, collections, reviews, points like sharing, user behavior to send and set of clients such as; server features include:user management, news gathering, news word classification, news cleaning go heavy, image processing, it is recommended to calculate, comment filtering, cache cleaning and respond to client requests and so on. This article implements all of these features above.
Keywords/Search Tags:iOS, tech news, crawler, recommendation algorithm, filter
PDF Full Text Request
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