Exploring Recommendations for Web Links of Online Bookstore: A Bibliographic Relationships and User Browsing Paths Approach

• Main Authors: Chi-Ming Wu, 吳啟鳴
• Other Authors: Kuang-Hua Chen
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/65424240627197308478

碩士 === 國立臺灣大學 === 圖書資訊學研究所 === 101 === A user-centered website should display information through languages, texts and concepts to which users are familiar and make information available in a natural and logical way as well. As a result, users may have better browsing and searching experiences. Online bookstores are full of lots of information related to books, and the ways they are displayed may influence on choices of users. Therefore, user-centered bibliographic information among books in web pages should be seriously considered by any online bookstores. If we know what bibliographic relationships (BR for short) of users’ browsing paths which were analyzed from user log files, we could modify the links on pages in online bookstores. The purpose of this study is to find out the user browsing paths, travel patterns, and BR of patterns. After cleaning user logs, partitioning user sessions, and identifying browsing paths from log files, we extracted the travel patterns from user browsing paths, and then figured out number of BR of travel patterns. Finally, we analyzed the features of BR by various categories. We analyzed about 50,000 paths, and extracted about 1.5 million travel patterns from paths. The average number of BR of each forward-pattern is 1.17, and 1.86 of backward-pattern. This means that if users can’t get information they want, they will rely more on BR. Therefore, website should provide BR links for users’ need. Research results showed that most frequent BR were “subject relationship”, “responsibility relationship”, “link by system’s suggestions relationship”, “membership/grouping relationship” and “equivalence relationships”. According to research results, a few suggestions are shown as follows: a) build “membership/ grouping relationship” link for web pages of fiction; b) build BR links analyzed in this study for web pages of each book as much as possible; c) strengthen current links of “membership/grouping relationship”, “subject relationship”, and “responsibility relationship”; d) strengthen attractive elements on web pages of graphic comic and history to attract users to continue browsing; e) review current guidelines for recommendation and survey the inclusion of various categories of books.