TY - GEN
T1 - Ranking experts using author-document-topic graphs
AU - Sujatha, Das G.
AU - Mitra, Prasenjit
AU - Lee Giles, C.
PY - 2013
Y1 - 2013
N2 - Expert search or recommendation involves the retrieval of people (experts) in response to a query and on occasion, a given set of constraints. In this paper, we address expert recommendation in academic domains that are different from web and intranet environments studied in TREC. We propose and study graph-based models for expertise retrieval with the objective of enabling search using either a topic (e.g. "Information Extraction") or a name (e.g. "Bruce Croft"). We show that graph-based ranking schemes despite being "generic" perform on par with expert ranking models specific to topic-based and name-based querying.
AB - Expert search or recommendation involves the retrieval of people (experts) in response to a query and on occasion, a given set of constraints. In this paper, we address expert recommendation in academic domains that are different from web and intranet environments studied in TREC. We propose and study graph-based models for expertise retrieval with the objective of enabling search using either a topic (e.g. "Information Extraction") or a name (e.g. "Bruce Croft"). We show that graph-based ranking schemes despite being "generic" perform on par with expert ranking models specific to topic-based and name-based querying.
UR - http://www.scopus.com/inward/record.url?scp=84882255582&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882255582&partnerID=8YFLogxK
U2 - 10.1145/2467696.2467707
DO - 10.1145/2467696.2467707
M3 - Conference contribution
AN - SCOPUS:84882255582
SN - 9781450320764
T3 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
SP - 87
EP - 96
BT - JCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries
T2 - 13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013
Y2 - 22 July 2013 through 26 July 2013
ER -