Presentation 2012-05-18
Construction and Evaluation of Improved Lecture Recommendation System based on Collaborative Filtering
Zaixing JIANG, Yasuhiko HIGAKI, Sachiyo ARAI,
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Abstract(in English) 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.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Collaborative Filtering / Lecture Recommend / Item-Based / Cosine Similarity / Item-to-Item
Paper # LOIS2012-3
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Conference Date 2012/5/10(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Construction and Evaluation of Improved Lecture Recommendation System based on Collaborative Filtering
Sub Title (in English)
Keyword(1) Collaborative Filtering
Keyword(2) Lecture Recommend
Keyword(3) Item-Based
Keyword(4) Cosine Similarity
Keyword(5) Item-to-Item
1st Author's Name Zaixing JIANG
1st Author's Affiliation Graduate School of Engineering, Chiba University()
2nd Author's Name Yasuhiko HIGAKI
2nd Author's Affiliation Graduate School of Engineering, Chiba University
3rd Author's Name Sachiyo ARAI
3rd Author's Affiliation Graduate School of Engineering, Chiba University
Date 2012-05-18
Paper # LOIS2012-3
Volume (vol) vol.112
Number (no) 35
Page pp.pp.-
#Pages 6
Date of Issue