When personalization meets socialization: an iCADAL approach

Authors:
Yin Zhang;Xiaojun Wang;Haihan Yu;Ruifeng Li;Baogang Wei;Jing Pan
Affiliations:
College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;Zhejiang University Libraries, Zhejiang University, Hangzhou, China
Venue:
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Year:
2011

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Abstract

CADAL has been a large-scale non-profit digital library. Besides various search facilities in the CADAL portal, we designed and implemented the iCADAL system for providing the user-oriented micro-content services on one million books in CADAL. Users of iCADAL can receive the stream of short messages of lending, annotation and the other reading activities shared by their followees in a twitter-like way, which combines socialization with personalization. Our implementation makes extensive use of open source softwares, i.e. Pylons, Cassandra, in order to support the high-traffic online micro-content services.