荒井, 幸代

ARAI, Sachiyo

授業推薦

アイテムベース

コサイン類似度

Item-to-Item

Collaborative Filtering

Lecture Recommend

Item-Based

Cosine Similarity

Item-to-Item

[Abstract] The Lecture Recommendation System based on User-Based Collaborative Filtering had been completed. The improvement of comprehensiveness, precision and user interface would be needed. In order to improve the system, Item-based Collaborative Filtering and Cosine Similarity were introduced. The Senior Recommendation could recommend lectures the seniors who are similar to the user registered. The Collaboration Recommendation based on User-Based Collaborative Filtering and the Item Recommendation based on Item-Based Item-to-item Collaborative Filtering had been developed to improve the initiative of students. In evaluation of the improved prototype with the form of a timetable, it is confirmed that the system performance was increased.