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The Formant Criteria Of Degree Paper At USTL

Posted on:2016-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:J N ZhengFull Text:PDF
GTID:2308330470979774Subject:Computer technology
Abstract/Summary:PDF Full Text Request
At present, many large Internet companies have launched their own news service system through the integration of Internet news sites and channel data, but due to the need of business competition, the related technical details are confidential. According to the above situation, this paper designs and realizes Anshan Broadcasting― News Service System‖. As an intelligent news service system, it can automatically collect, classify and recommend news and provides full-text search. Among them, automatic collection of news applies the technology of web crawler, and realizes the multithreaded parallel grab; Automatic classification of news applies the technology of text categorization, whose accuracy can reach 72.9%; Automatic recommendation of news applies the personalized recommendation technologies, such as to be able to recommend hot news, popular queries, and preference news for user; Full-text search of news makes use of Lucene development kit to have realized the classification of the query result and pagination-display. In general, every function module of Anshan Broadcasting ―News Service System‖ gains satisfied effect. In the future, we can make further research on the system’s recommendation.
Keywords/Search Tags:Web Crawler, Text Classification, Personalized Recommendation, Lucene
PDF Full Text Request
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