A collaborative filtering method based on empathy with reviewers

Daichi Minami, Taketoshi Ushiama

研究成果: 著書/レポートタイプへの貢献会議での発言

1 引用 (Scopus)

抄録

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.

元の言語英語
ホスト出版物のタイトルProceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017
出版者Association for Computing Machinery, Inc
ISBN(電子版)9781450348881
DOI
出版物ステータス出版済み - 1 5 2017
イベント11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 - Beppu, 日本
継続期間: 1 5 20171 7 2017

出版物シリーズ

名前Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017

その他

その他11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017
日本
Beppu
期間1/5/171/7/17

Fingerprint

Collaborative filtering
Websites
Feedback

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

これを引用

Minami, D., & Ushiama, T. (2017). A collaborative filtering method based on empathy with reviewers. : Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 [33] (Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3022227.3022259

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 (Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017).

研究成果: 著書/レポートタイプへの貢献会議での発言

Minami, D & Ushiama, T 2017, A collaborative filtering method based on empathy with reviewers. : Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017., 33, Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017, Association for Computing Machinery, Inc, 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017, Beppu, 日本, 1/5/17. https://doi.org/10.1145/3022227.3022259
Minami D, Ushiama T. A collaborative filtering method based on empathy with reviewers. : Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017. Association for Computing Machinery, Inc. 2017. 33. (Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017). https://doi.org/10.1145/3022227.3022259
Minami, Daichi ; Ushiama, Taketoshi. / A collaborative filtering method based on empathy with reviewers. Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017. Association for Computing Machinery, Inc, 2017. (Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017).
@inproceedings{c91e2f11ad1a491b81ce125524abcd1b,
title = "A collaborative filtering method based on empathy with reviewers",
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.",
author = "Daichi Minami and Taketoshi Ushiama",
year = "2017",
month = "1",
day = "5",
doi = "10.1145/3022227.3022259",
language = "English",
series = "Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017",

}

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.

UR - http://www.scopus.com/inward/record.url?scp=85015240667&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015240667&partnerID=8YFLogxK

U2 - 10.1145/3022227.3022259

DO - 10.1145/3022227.3022259

M3 - Conference contribution

AN - SCOPUS:85015240667

T3 - Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017

BT - Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017

PB - Association for Computing Machinery, Inc

ER -