'Similar researcher search' in academic environments

Sujatha Das Gollapalli, Prasenjit Mitra, C. Lee Giles

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

38 Scopus citations

Abstract

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 (US)
Title of host publicationJCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries
Pages167-170
Number of pages4
DOIs
StatePublished - 2012
Event12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12 - Washington, DC, United States
Duration: Jun 10 2012Jun 14 2012

Publication series

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

Other

Other12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12
Country/TerritoryUnited States
CityWashington, DC
Period6/10/126/14/12

All Science Journal Classification (ASJC) codes

  • General Engineering

Fingerprint

Dive into the research topics of ''Similar researcher search' in academic environments'. Together they form a unique fingerprint.

Cite this