Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
The open archives initiative: building a low-barrier interoperability framework
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
The DSpace institutional digital repository system: current functionality
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Understanding and improving automated collaborative filtering systems
Understanding and improving automated collaborative filtering systems
Toward a personal recommender system
Toward a personal recommender system
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This paper presents a platform for recommendation services, called RecS-DL, to support the use of recommendation tools by digital libray applications. The proposed RecS-DL platform is independent of application domain, technology, and recommendation techniques. The recommendation services offered by the platform can be easily incorporated into digital libraries systems. Furthermore, new recommendation engines can also be plugged into the platform in a dynamic way. We present the results obtained from experiments conducted with real digital libraries and from evaluations made by potential users. Experimental results show that the platform facilitates the interoperability of recommendation tools in digital libraries systems.