Font Size: a A A

Research On The Intelligent Development Of "Today's Headline" Of Aggregate News Client

Posted on:2019-12-20Degree:MasterType:Thesis
Country:ChinaCandidate:B L LiangFull Text:PDF
GTID:2428330545465035Subject:Press and Communication
Abstract/Summary:PDF Full Text Request
Headline since its establishment in March 2012 has grown from a technical team in Beijing's Zhongguancun to an Internet“unicorn”with 120 million users and an international presence.This to a certain extent represents the convergence of the news platform based on artificial intelligence technology to the majority of users,and has become a new trend.The key to the success of Headline lies in choosing a technology-led intelligent development path.This article researches and analyzes the status quo,problems and improvement strategies of the aggregation news client represented by Headline on the road to intelligent development.Starting from the four aspects of content source,content distribution,content check and user data analysis on the platform,using social data research methods such as data access,content analysis,and internal personnel exchanges,it is summarized in the intelligent development path.The dilemma,together with the actual improvement strategies and recommendations,provides reference for future development of other aggregation ne'ws clients and traditional media.Through research,it was discovered that Headline artificial intelligence applications are mainly reflected in the use of web crawlers to capture news and information,use algorithms for personalized news feeds,use machine learning techniques to train the content quality of model management platforms,and use big data technologies to depict user-detailed features.Four aspects.Through the full use of intelligent technology,Headline stands out in a large number of information platforms,but at the same time,it also exposed some problems:crawling technology crawling news and information related to network infringement;personalized news push is easy to form an information room effect;The machine learning training model will cut across the content and cannot accurately identify cases with fuzzy boundaries.The collection and application of user data will threaten the privacy of users.In view of these four aspects,this paper gives improvement strategies from the perspectives of how to avoid network infringement,breaking information shelters,and combining the supervision of human and intellectual content with the protection of user data privacy,so that Headline can develop healthily.
Keywords/Search Tags:headline, Web crawler technology, Personalized recommendation, Content quality management, User portrait
PDF Full Text Request
Related items