Expertise Analysis in a Question Answer Portal for Author Ranking

Author

Chen, Lin ; Nayak, Richi

Author_Institution

Fac. of Inf. Technol., Queensland Univ. of Technol., Brisbane, QLD

Volume

1

fYear

2008

fDate

9-12 Dec. 2008

Firstpage

134

Lastpage

140

Abstract

An online question answering (QA) portal provides users a way to socialize and help each other to solve problems. The majority of the online question answer systems use user-feedback to rank userspsila answers. This way of ranking is inefficient as it involves ongoing efforts by the users and is subjective. Currently researchers have utilized link analysis of user interactions for this task. However, this is not accurate in some circumstances. A detailed structural analysis of an online QA portal is conducted in this paper. A novel approach based on userspsila reputation reflecting the usage patterns is proposed to rank and recommend the user answers. The method is compared with a popular link topology analysis method, HITS. The result of the proposed method is promising.

Keywords

information retrieval; portals; social aspects of automation; user interfaces; author ranking; expertise analysis; link analysis; link topology analysis; online question answer system; online question answering portal; usage patterns; user interactions; user-feedback ranking; Australia; Collaborative tools; Feedback; Information analysis; Information technology; Intelligent agent; Portals; Social network services; Topology; Voting; Author Ranking; Question Answer Portal; Yahoo;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

978-0-7695-3496-1

Type

conf

DOI

10.1109/WIIAT.2008.12

Filename

4740437