Personalized News Recommendation Based on Links of Web

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.