A collaborative filtering method based on empathy with reviewers
Article No.: 33, Pages 1 - 6
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.
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- A collaborative filtering method based on empathy with reviewers
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Published In
January 2017
746 pages
ISBN:9781450348881
DOI:10.1145/3022227
Copyright © 2017 ACM.
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Publication History
Published: 05 January 2017
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- Research-article
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- JSPS KAKENHI
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IMCOM '17
Sponsor:
IMCOM '17: The 11th International Conference on Ubiquitous Information Management and Communication
January 5 - 7, 2017
Beppu, Japan
Acceptance Rates
IMCOM '17 Paper Acceptance Rate 113 of 366 submissions, 31%;
Overall Acceptance Rate 213 of 621 submissions, 34%
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