An Expertise Recommender System for Web Cooperative Production
Muhammad Aslam, Ana María Martínez Enríquez, Muhammad Tariq Pervez, Zakia Saeed · 2010
This paper focuses on providing dedicated expertise recommender system to enhance awareness among group members, working in a distributed cooperative environment. Normally, coauthors lack the information about the production capabilities of their colleagues. As a result of this lack, when they need assistance for the production of complex objects (formulae, figures, style sheets, etc.) they ask their colleagues for help, consequently the authoring process is disturbed. On the other hand, personal referrals may not be useful due to human biasing, liking, and disliking. The existing expertise recommender systems work on user profiles containing user qualification, experience, and history of solved problems. These systems require manual database updation which can be performed by only skilled person. We treat the issue by developing an expertise recommender system which is in- charge to seamlessly observe user activities and to auto detect a possible human expert of elaborated productions on the basis of a generic criterion. Whenever, a participant is deduced as a novice having some production problem, the developed system recommends him/her the presence of an expert with whom the novice can communicate. The entire goal is to enhance awareness coordination among collaborator activities and hence to generate a consistent shared production. (Journal of American Science 2010;6(7):106-112). (ISSN: 1545-1003).