CSSeer: An expert recommendation system based on CiteseerX

Hung Hsuan Chen, Pucktada Treeratpituk, Prasenjit Mitra, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

We propose CSSeer1, 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.

Original languageEnglish (US)
Title of host publicationJCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries
Pages381-382
Number of pages2
DOIs
Publication statusPublished - Aug 23 2013
Event13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013 - Indianapolis, IN, United States
Duration: Jul 22 2013Jul 26 2013

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996

Other

Other13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013
CountryUnited States
CityIndianapolis, IN
Period7/22/137/26/13

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Chen, H. H., Treeratpituk, P., Mitra, P., & Lee Giles, C. (2013). CSSeer: An expert recommendation system based on CiteseerX. In JCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 381-382). (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries). https://doi.org/10.1145/2467696.2467750