Title :
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
fDate :
June 28 2015-July 1 2015
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;
Conference_Titel :
Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/ICIS.2015.7166660
