An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Journal of the American Society for Information Science and Technology
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Similarity measures, author cocitation analysis, and information theory: Brief Communication
Journal of the American Society for Information Science and Technology
Don't look stupid: avoiding pitfalls when recommending research papers
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Author-statement citation analysis applied as a recommender system to support non-domain-expert academic research
Mediation of user models for enhanced personalization in recommender systems
User Modeling and User-Adapted Interaction
Formal Models for Expert Finding on DBLP Bibliography Data
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Expert recommender systems in practice: evaluating semi-automatic profile generation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Collaborative filtering for social tagging systems: an experiment with CiteULike
Proceedings of the third ACM conference on Recommender systems
Journal of the American Society for Information Science and Technology
Social networks and interest similarity: the case of CiteULike
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Folksonomies. Indexing and Retrieval in Web 2.0
Folksonomies. Indexing and Retrieval in Web 2.0
Journal of the American Society for Information Science and Technology
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Information Sciences: an International Journal
A social model for literature access: towards a weighted social network of authors
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Journal of the American Society for Information Science and Technology
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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Researchers in almost all scientific disciplines rely heavily on the collaboration of their colleagues. Throughout his or her career, any researcher will build up a social academic network consisting of people with similar scientific interests. A recommendation system could facilitate the process of identifying and finding the right colleagues, as well as pointing out possible new collaborators. As a researcher's reputation is of great importance, the social information gleaned from citations and reference data can be used to cluster similar researchers. Web services, such as social bookmarking systems, provide new functionalities and a greater variety of social information - if exploited correctly, these could lead to better recommendations. The following chapter describes, by way of example, one approach to recommendation for social networking in academia.