Data Integration Method for Recommendation on Small Website
Nobuyuki Shimizu, Taku Okuno · Institutional Repositories DataBase (IRDB) · 2010
This paper presents a data integration method for recommendation on a small website. Since most of small websites lacks funding, user and user data, it is difficult to use the recommender system in the small websites. To overcome this problem, the data needs to be collected from multiple websites. But if the data are simply collected, individual characteristics of each websites is weaken. This paper presents a method for data integration of small websites in which the characteristics of each website are retained. The managers have a different subject of their content. Therefore, this method can integrate the data with specific character of each websites.