Presentation 2016-09-13
Item Recommendation Method for Collaborative Filtering Based on Empathy with Reviewers
Daichi Minami, Taketoshi Ushiama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Today, it has become difficult for people to find books that fulfill their preference because the number of books in the world has become very large. In order to select books to read, the reviews on candidate books are helpful. Therefore, the role of online review sites which are web sites storing reviews of books is important. One of the functions in the online review sites is the collaborative filtering (CF) with reviewers. In general, the user-based CF is based on the assumption that the preferences of users who select the same items will be similar. However, in many cases, each user would have different viewpoints for their evaluation of books. In this paper, we focused on the difference of viewpoints when each user evaluate a book. We propose a CF method based on the empathy with other reviewers. Our method utilizes the evaluation for a review as feedback. Experimental results show the effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Book recommend / Review analysis / Topic extraction / LDA / Relevance Feedback / Collaborative Filtering
Paper # DE2016-17
Date of Issue 2016-09-06 (DE)

Conference Information
Committee DE
Conference Date 2016/9/13(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Keio Univ. (Hiyoshi Campus)
Topics (in Japanese) (See Japanese page)
Topics (in English) Big Data Management, Information Retrieval, Knowledge Discovery, etc.
Chair Masato Oguchi(Ochanomizu Univ.)
Vice Chair Makoto Onizuka(Osaka Univ.) / Masashi Toyoda(Univ. of Tokyo)
Secretary Makoto Onizuka(Kyushu Univ.) / Masashi Toyoda(Kogakuin Univ.)
Assistant Mayuki Ueda(Univ. of Marketing and Distrbution Science) / Shingo Otsuka(Kanagawa Inst. of Tech.)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Item Recommendation Method for Collaborative Filtering Based on Empathy with Reviewers
Sub Title (in English)
Keyword(1) Book recommend
Keyword(2) Review analysis
Keyword(3) Topic extraction
Keyword(4) LDA
Keyword(5) Relevance Feedback
Keyword(6) Collaborative Filtering
1st Author's Name Daichi Minami
1st Author's Affiliation Kyushu University(Kyushu Univ.)
2nd Author's Name Taketoshi Ushiama
2nd Author's Affiliation Kyushu University(Kyushu Univ.)
Date 2016-09-13
Paper # DE2016-17
Volume (vol) vol.116
Number (no) DE-214
Page pp.pp.31-36(DE),
#Pages 6
Date of Issue 2016-09-06 (DE)