Personalized news recommendation based on links of web

Author

Zhenzhong Li ; Wenqian Shang

Author_Institution

Sch. of Comput. Sci., Commun. Univ. of China, Beijing, China

fYear

2015

fDate

June 28 2015-July 1 2015

Firstpage

581

Lastpage

584

Abstract

With the development of Internet technology, the main source of human access to news reporters changes from the original traditional print media to the Internet-based technology news portal. However, with the data technology incoming, the information is exploding on the Internet. If the company can provide some news that users are interested in from the data of ocean, the company can gain the favorites of users. This paper is based on links of web structure and Sequential Pattern by analyzing the user´s click-stream behavior to obtain the browsing habits and preferences of users. Through using the recommendation technology, it can help predict the interests of users and reduce the users´ searching time for news.

Keywords

Internet; recommender systems; Internet technology; Web structure links; data technology; personalized news recommendation technology; sequential pattern; user click-stream behavior analysis; Algorithm design and analysis; Collaboration; Filtering; Internet; Prediction algorithms; Web pages; Web links; news recommendation algorithm; sequential pattern; user behavior;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on

Conference_Location

Las Vegas, NV

Type

conf

DOI

10.1109/ICIS.2015.7166660

Filename

7166660