CSSeer: an expert recommendation system based on CiteseerX

Authors:
Hung-Hsuan Chen;Pucktada Treeratpituk;Prasenjit Mitra;C. Lee Giles
Affiliations:
The Pennsylvania State University, State College, PA, USA;The Pennsylvania State University, State College, PA, USA;The Pennsylvania State University, State College, PA, USA;The Pennsylvania State University, State College, PA, USA
Venue:
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Year:
2013

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Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries

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Abstract

We propose CSSeer, a free and publicly available keyphrase based recommendation system for expert discovery based on the CiteSeerX digital library and Wikipedia as an auxiliary resource. CSSeer generates keyphrases from the title and the abstract of each document in CiteSeerX. These keyphrases are then utilized to infer the authors' expertise. We compared CSSeer with the other two state-of-the-art expert recommenders and found that the three systems have moderately divergent recommendations on 20 benchmark queries. Thus, we recommend users to browse through several different recommenders to obtain a more complete expert list.