期刊名称:International Journal of Computer Science and Network Security
印刷版ISSN:1738-7906
出版年度:2010
卷号:10
期号:11
页码:1-5
出版社:International Journal of Computer Science and Network Security
摘要:Personalized recommendation is a powerful approach for reducing information overload in Internet surfing and is also useful for avoiding unbalanced situations in network communities when we consider not only the best choice but also the second and possibly the third choices. This paper presents an empirical study on the influence of recommendation style in Internet surfing. The results imply that users can be induced to select alternative choices only after reliable recommendations are provided.
关键词:Personalized recommendation; Internet surfing; User preference; Alternative choice