DMCA
Enhanced models for expertise retrieval using community-aware strategies (2012)
| Venue: | IEEE Trans. SMC-B |
| Citations: | 9 - 1 self |
BibTeX
@ARTICLE{Deng12enhancedmodels,
author = {Hongbo Deng and Irwin King and Senior Member and Michael R. Lyu},
title = {Enhanced models for expertise retrieval using community-aware strategies},
journal = {IEEE Trans. SMC-B},
year = {2012},
pages = {93--106}
}
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Abstract
Abstract—Expertise retrieval, whose task is to suggest people with relevant expertise on the topic of interest, has received increasing interest in recent years. One of the issues is that previous algorithms mainly consider the documents associated with the experts while ignoring the community information that is affiliated with the documents and the experts. Motivated by the observation that communities could provide valuable insight and distinctive information, we investigate and develop two community-aware strategies to enhance expertise retrieval. We first propose a new smoothing method using the community context for statistical language modeling, which is employed to identify the most relevant documents so as to boost the performance of expertise retrieval in the document-based model. Furthermore, we propose a querysensitive AuthorRank to model the authors ’ authorities based on the community coauthorship networks and develop an adaptive ranking refinement method to enhance expertise retrieval. Experimental results demonstrate the effectiveness and robustness of both community-aware strategies. Moreover, the improvements made in the enhanced models are significant and consistent. Index Terms—Community-aware strategy, expertise retrieval, language model, query-sensitive AuthorRank. I.
Keyphrases
expertise retrieval community-aware strategy enhanced model query-sensitive authorrank adaptive ranking refinement method document-based model community context index term community-aware strategy recent year statistical language modeling experimental result relevant expertise author authority new smoothing method previous algorithm community information language model distinctive information valuable insight abstract expertise retrieval community coauthorship network querysensitive authorrank relevant document
