'Similar researcher search' in academic environments

Sujatha Das Gollapalli, Prasenjit Mitra, C. Lee Giles

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

20 Citations (Scopus)


Entity search is an emerging IR and NLP task that involves the retrieval of entities of a specific type in response to a query. We address the similar researcher search" or the "researcher recommendation" problem, an instance of similar entity search" for the academic domain. In response to a researcher name' query, the goal of a researcher recommender system is to output the list of researchers that have similar expertise as that of the queried researcher. We propose models for computing similarity between researchers based on expertise profiles extracted from their publications and academic homepages. We provide results of our models for the recommendation task on two publicly-available datasets. To the best of our knowledge, we are the first to address content-based researcher recommendation in an academic setting and demonstrate it for Computer Science via our system, ScholarSearch.

Original languageEnglish
Title of host publicationProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Number of pages4
Publication statusPublished - 2012
Externally publishedYes
Event12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12 - Washington, DC
Duration: 10 Jun 201214 Jun 2012


Other12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12
CityWashington, DC



  • recommendation
  • simiar-entity search

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Gollapalli, S. D., Mitra, P., & Giles, C. L. (2012). 'Similar researcher search' in academic environments. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (pp. 167-170) https://doi.org/10.1145/2232817.2232849