Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9781450348881 |
| DOIs | |
| Publication status | Published - Jan 5 2017 |
| Event | 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 - Beppu, Japan Duration: Jan 5 2017 → Jan 7 2017 |
Other
| Other | 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 |
|---|---|
| Country | Japan |
| City | Beppu |
| Period | 1/5/17 → 1/7/17 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
Cite this
A collaborative filtering method based on empathy with reviewers. / Minami, Daichi; Ushiama, Taketoshi.
Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017. Association for Computing Machinery, Inc, 2017. 33.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A collaborative filtering method based on empathy with reviewers
AU - Minami, Daichi
AU - Ushiama, Taketoshi
PY - 2017/1/5
Y1 - 2017/1/5
N2 - 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.
AB - 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.
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U2 - 10.1145/3022227.3022259
DO - 10.1145/3022227.3022259
M3 - Conference contribution
BT - Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017
PB - Association for Computing Machinery, Inc
ER -