Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2467696.2467707 | JCDL |
Keywords | Field | DocType |
bruce croft,graph-based ranking scheme,expert recommendation,expert search,ranking expert,academic domain,expertise retrieval,information extraction,author-document-topic graph,graph-based model,enabling search,expert ranking model | PageRank,Graph,World Wide Web,Information retrieval,Ranking,Computer science,Expertise retrieval,Intranet,Information extraction,Ranking (information retrieval) | Conference |
ISSN | Citations | PageRank |
2575-7865 | 12 | 0.56 |
References | Authors | |
23 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sujatha Das Gollapalli | 1 | 74 | 6.24 |
| Prasenjit Mitra | 2 | 2439 | 167.89 |
| C. Lee Giles | 3 | 11154 | 1549.48 |