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An answerer recommender system exploiting collaboration in CQA services

Wang, Ning; Abel, Marie-Hélène; Barthès, Jean-Paul; Negre, Elsa (2016), An answerer recommender system exploiting collaboration in CQA services, in Shen, Weiming; Liu, Xiaoping; Yang, Chunsheng; Barthès, Jean-Paul; Luo, Junzhou; Chen, Limin; Yong, Jianming, 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD), Institute of Electrical and Electronics Engineers ( IEEE ), p. 198-203. 10.1109/CSCWD.2016.7565988

Type
Communication / Conférence
Date
2016
Conference title
International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Conference date
2016-05
Conference city
Nanchang
Conference country
China
Book title
2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Book author
Shen, Weiming; Liu, Xiaoping; Yang, Chunsheng; Barthès, Jean-Paul; Luo, Junzhou; Chen, Limin; Yong, Jianming
Publisher
Institute of Electrical and Electronics Engineers ( IEEE )
ISBN
978-1-5090-1915-1
Number of pages
703
Pages
198-203
Publication identifier
10.1109/CSCWD.2016.7565988
Metadata
Show full item record
Author(s)
Wang, Ning
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Abel, Marie-Hélène cc
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Barthès, Jean-Paul
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Negre, Elsa
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
Community-based Question Answering (CQA) services are becoming popular as the public gets used to look for help and obtain information. Existing CQA services try to recommend someone for answering new questions. On the other hand, people are allowed to exchange information and experience using various collaborative tools. It would be interesting to combine the two approaches to increase the reliability of recommending an answerer. Thus, relying on semantically modeled traces, we propose a comprehensive approach that recommends an answerer in a collaborative environment. From a global point of view, this approach consists in evaluating users by the performance in the CQA services and the corresponding knowledge sharing activities in which they participated in a collaborative context. By modeling and analyzing users' behavior, we assess the competency of an answerer in a particular collaborative context.
Subjects / Keywords
Recommender systems; Prototypes; Logistics; Knowledge management

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