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 Citations (Scopus)

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
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 - 23 Aug 2013
Event13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013 - Indianapolis, IN, United States
Duration: 22 Jul 201326 Jul 2013

Publication series

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

Conference

Conference13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013
CountryUnited States
CityIndianapolis, IN
Period22/7/1326/7/13

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Keywords

  • Citeseerx
  • Csseer
  • Expert recommendation
  • Information extraction
  • Keyphrase extraction
  • Text mining

ASJC Scopus subject areas

  • 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