Automatic Conversation Driven by Uncertainty Reduction and Combination of Evidence for Recommendation Agents
Luis Mateus Rocha · 2003
We present an adaptive recommendation system named TalkMine, which is based on the combination of Evidence from different sources. It establishes a mechanism for automated conversation between recommendation agents, in order to gather the interests of individual users of web sites and digital libraries. This conversation process is enabled by measuring the uncertainty content of knowledge structures used to store evidence from different sources. TalkMine also leads different databases or websites to learn new and adapt existing keywords to the categories recognized by its communities of users. TalkMine is currently being implemented for the research library of the Los Alamos National Laboratory under the Active Recommendation Project (http://arp.lanl.gov).