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An Empirical Study on the Influence of Personalized Recommendation for Internet Users


Chi-Hyon Oh, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi


Vol. 10  No. 11  pp. 1-5


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.


Personalized recommendation, Internet surfing, User preference, Alternative choice