2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)
Applying the HYRIWYG Incentive Mechanism in a Recommender System
Compi?gne University of Technology, France
September 19-September 22
ISBN: 0-7695-2415-X
The use of Recommender Systems (RS) has become common in several e-commerce websites. Collaborative Filtering is one of the most popular RS techniques. It infers an user's predilections based on similarity with other users. However, to work correctly, the RS depends on the evaluator's participation with truly opinions. The HYRIWYG mechanism proposes an incentive model to motivate users to contribute with a high number of opinions and, more important, guaranteeing the truthfulness of the information. In this paper, we present HYRIWYG mechanism and discuss it using an empirical study in the movie evaluation domain. Initial results highlight the great potential benefits of using this kind of incentive mechanism.
Citation:
Ana Cristina Bicharra Garcia, Leandro Neumann Ciuffo, "Applying the HYRIWYG Incentive Mechanism in a Recommender System," wi, pp.770-773, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005