To find information of quality from multiple heterogeneous sources is increasingly difficult. This problem finds its origin in the fast growth of the number of information available. The various formats used to store the data can also be problematic for the recommendation process. Nevertheless, for a community of people with similar interests, quality of results can be improved exploiting also the experience of the community. This experience can be shared and strengthen by all members of the same community to respond to their expectations by furnishing the best information on a specific topic. We propose an agent-based recommendation system for supporting communities of people in their searching task.
Affiliations
Louvain School of ManagementOperations and Information
Louvain School of ManagementOperations and Information
Achbany, Y., Nguyen, D. T., Faulkner, S., Kolp, M., & Wautelet, Y. (2005). A multi-agent recommendation system based o the sharing of knowledge owned by communities (IAG - LSM Working Papers 05/148). https://hdl.handle.net/2078.5/249876