한국데이터정보과학회:학술대회논문집
- 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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- Pages.59-69
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- 2006
A Study on the Effect of Co-Ratings and Correlation Coefficient for Recommender System
- 발행 : 2006.11.17
초록
Pearson's correlation coefficient and Vector similarity are generally applied to The users' similarity weight of user based recommender system. This study is needed to find that the correlation coefficient of similarity weight is effected by the number of pair response and significance probability. From the classified correlation coefficient by the significance probability test on the correlation coefficient and pair of response, the change of MAE is studied by comparing the predicted precision of the two. The results are experimentally related with the change of MAE from the significant correlation coefficient and the number of pair response.