Communications of the ACM
ACM Transactions on Mathematical Software (TOMS) - Special issue in honor of John Rice's 65th birthday
Developing recommendation services for a digital library with uncertain and changing data
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
TalkMine: a soft computing approach to adaptive knowledge recommendation
Soft computing agents
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Enhancing digital libraries with TechLens+
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
A personalized collaborative digital library environment: a model and an application
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
Techlens: a researcher's desktop
Proceedings of the 2007 ACM conference on Recommender systems
Did they notice? - a case-study on the community contribution to data quality in DBLP
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Recommender systems: from algorithms to user experience
User Modeling and User-Adapted Interaction
Hi-index | 0.00 |
Users' personal citation collections reflect users' interests and thus offer great potential for personalized digital services. We studied 18,120 citations in the personal collections of 96 users of RefWorks citation management system to understand these in terms of their resolvability i.e. how well these citations can be resolved to a unique identifier and to their online sources. While fewer than 4% of citations to articles in Journals and Conferences included a DOI, we were able to increase this resolvability to 50% by using a citation resolver. A much greater percentage of book citations included an ISBN (53%), but using an online resolver found ISBNs for an additional 20% of the book citations. Considering all citation types, we were able to resolve approximately 47% of all citations to either an online source or a unique identifier.