@inproceedings{6db4a88a290548dab5dd414d70723955,
title = "Ranking experts using author-document-topic graphs",
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.",
author = "Sujatha, \{Das G.\} and Prasenjit Mitra and \{Lee Giles\}, C.",
year = "2013",
doi = "10.1145/2467696.2467707",
language = "English (US)",
isbn = "9781450320764",
series = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",
pages = "87--96",
booktitle = "JCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries",
note = "13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013 ; Conference date: 22-07-2013 Through 26-07-2013",
}