標題: Recommending quality book reviews from heterogeneous websites
作者: Liu, Duen-Ren
Chen, Nei-Hsiao
Chiu, Po-Huan
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Book review recommendation;Heterogeneous data integration;Book review quality measurement;Readers;Books
公開日期: 2013
摘要: Purpose - In recent years, readers have limited amounts of time to pick the right books to read from a market that is filled with similar types of books. Aiming to read only good books, readers tend to check book reviews written by others. However, it is very difficult to find good book reviews. The aim of this paper is to present a book review recommendation system that collects reviews from heterogeneous sources on the Internet and performs quality judgments automatically. Users can then read the top-ranked reviews suggested by this recommendation system. Design/methodology/approach - In this paper, a book review recommendation system is constructed to collect, process, and judge the quality of book reviews from various heterogeneous sources. The quality measurement of book reviews uses review-evaluation techniques. The prediction results were validated with a ranking list produced by experts. Findings - The proposed system is effective and suitable for recommending quality book reviews from heterogeneous sources. The proposed quality measurement method is more effective than other more commonly used methods. Originality/value - This paper is one of the first to apply review evaluation techniques to the process of book review recommendation. The proposed system can collect and recognize book reviews from different websites with various forms of presentation. This evaluation shows that the quality measurement method produces better results than-do other methods, such as ranking by rating score or by the date that the review was posted. Those methods are primarily used by commercial websites.
URI: http://hdl.handle.net/11536/21281
http://dx.doi.org/10.1108/10662241311295764
ISSN: 1066-2243
DOI: 10.1108/10662241311295764
期刊: INTERNET RESEARCH
Volume: 23
Issue: 1
起始頁: 27
結束頁: 46
Appears in Collections:Articles