The information recommendation is one of the information gathering support approaches.It is the technique of recommending information to a user.However its information must be useful to a user.The recommender system is demanded to recommend its information.
The information gathering is important work in various activities.By explosive development of the Internet in recent years, anyone can touch huge sources of information.However, its hugeness overwhelmed the capability to collect information of people, and caused "Information Overload" or "Information flood".
In order to solve Information Overload, Information Retrieval is in one of the technology studied from early.The search engine which is one of the results of information retrieval has spread widely as an information gathering support tool in WWW.However, whenever a user needs information, you have to input a query.Furthermore, if the returned result is a huge quantity, the user has to apply narrowing down from the result.As one of the techniques of solving this, the demand of a user was presumed automatically and the approach which recommends positively the information with which the demand is filled was invented.It is information recommendation.
When a lot of information is carried out at hand, daily, we use a past experience and intuition, and guess important information and effective information, and perform a action. Such processing is called "Information Filtering". The system which automates this process and makes a user's burden light is an information filtering system.
A recommendation system is a system which supports information gathering activities of users other than a search engine or an information filtering system.The system is made based on the view of information recommendation.Since it is mainly made using the technology of information filtering, the distinction with an information filtering system is ambiguous.In this text, what gives the filtering effect positively to a user by the information filtering system based on an agent is called recommendation system.