As the Internet has been commonly used in our everyday lives, we have been able to obtain large amount of information from
it, whereas we have simultaneously had a problem that it is difficult to find proper information for us from the large amount
of information on the Web. Although many information recommendation methods have been proposed in order to solve this problem,
most recommendation methods are based on a large amount of user’s personal data such as operation log, schedule, etc – which
means that we have to manage a large amount of personal data in the system in order to provide proper information to users,
and it would be expensive to construct such a system.
With this background, in this study, against aiming to construct a sophisticated information recommendation system based on
large personal data, we propose a handy and not expensive information recommendation method, working beside a normal search
engine, which does not depend on user profile data, but on topical news information.
Keywords Handy Information Recommendation - RSS - Topical Information Providing - Ebbinghaus’s Forgetting Curves