文章基本信息

标题：A Book Recommendation Method Based on Paragraph Vector and User's Book Arrangement
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作者：Tatsuya Miyamoto ; Daisuke Kitayama
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2239
页码：247-251
出版社：Newswood and International Association of Engineers
摘要：In recent years, the evaluation of recommender systems has focused on not only accuracy but aspects such as novelty, diversity, explainability, coverage, and serendipity as well. This is because users are not always satisfied with book recommender systems focusing on accuracy alone. Recent evaluation measures provide a solution for this problem. In this paper, we propose a book recommendation method that considers serendipity and explainability based on user book arrangement. We focus on the book arrangement such that if the user arranges the books based on his/her own preferences, we perceive that even the same set of books will be arranged differently by each user. For example, a user arrenges for increasing comedy atmosphere, on the other hand, other user arrenges for increasing difficulty of mystery. We propose a book recommender system that understands the intention of a user’s book arrangement and recommends books accordingly. We investigate the effectiveness of our proposed approach through experiments on novels from book review sites.
关键词：Paragraph vector; Book recommendation; Regression