Conference proceeding
ExpertRank: An Expert User Ranking Algorithm in Online Communities
2009 INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION AND SERVICE SCIENCE (NISS 2009), VOLS 1 AND 2, pp.674-679
01/01/2009
DOI: 10.1109/NISS.2009.75
Abstract
As computer-mediated communication services in the Web 2.0 arena, online communities have become very important places for Web users to share knowledge and experiences. One important research issue in online communities is how to find expert users in the community. In this paper, we investigate the expertise that users displayed in online communities, especially in discussion groups and propose an effective expert ranking algorithm, which integrates both discussion thread contents and social network extracted from massive social interactions. We present a vector space model to compute the content relevance part and a PageRank style algorithm for the expert network part. Considering the expert spamming issue caused by mutually referencing in a small group, we modes the original PageRank algorithm and propose a novel ranking algorithm. The two parts are lastly integrated using a cascade strategy. The experimental results show that our so-called ExpertRank algorithm is an effective expert ranking algorithm, which can guarantee that the highly ranked experts are both highly relevant to the specific queries and highly authoritative in corresponding areas.
Details
- Title: Subtitle
- ExpertRank: An Expert User Ranking Algorithm in Online Communities
- Creators
- Jian Jiao - Virginia TechJun Yan - Virginia TechHaibei Zhao - Virginia TechWeiguo Fan - Virginia Tech
- Resource Type
- Conference proceeding
- Publication Details
- 2009 INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION AND SERVICE SCIENCE (NISS 2009), VOLS 1 AND 2, pp.674-679
- Publisher
- IEEE
- DOI
- 10.1109/NISS.2009.75
- Number of pages
- 2
- Language
- English
- Date published
- 01/01/2009
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380474302771
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