Carnegie Mellon University
Browse

Improving CADAL Portal Usability: Book Search, Reading, Reporting Services

Download (642.15 kB)
journal contribution
posted on 2009-11-07, 00:00 authored by Yin Zhang, Jing Pan, Jiangqin Wu, Yueting Zhuang
CADAL has been open to the public for more than two years. We have received a lot of positive feedbacks to improve the usability of CADAL portal. In this paper, we present our works in improving the usability of book search, reading and reporting services in CADAL portal. First, we present a quick book search application whose effective hybrid ranking mechanism combines content similarities with reading tendencies mined from book click-through logs. Second, we utilize Ajax and Flex technologies to improve user experiences of book search, reading and reporting services. Moreover, the use of Flex framework in the book reading service helps in preventing automatic batch downloading of books. Finally, Flex-based book reporting service makes administrators easily learn the hottest books, reading patterns of users and possible crawlers. The actual operation of those services shows that log mining and Flex technologies indeed improve the usability of CADAL portal.

History

Date

2009-11-07

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC