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
