Building a Collective-Experience Engine for Experience-Transfer Amongst Web Users

This paper describes the Collective Experience Engine (CEE), a system for indexing ExperientialKnowledge about Web knowledge-sources (websites), and performing relative-experience calculations between participants of the CEE. The CEE provides an in-browser interface to query the collective experience of others participating in the CEE. This interface accepts a list of URLs, to which the CEE adds additional information based on the Queryee's previously indexed Experiential-Knowledge. The core of the CEE is its Experiential-Context Conversation (ECConversation) functionality, whereby an collection of a person’s Web Experiential-Knowledge can be utilized to allow a real-world conversation-like exchange of information to take place, including adjusting information-flow based on the Queryee's experiential background and knowledge, and providing additional experientially-related knowledge integrated into the answer from multiple selected 'experience donors'. A relative-experience calculation ensures that information is retrieved only from relative-experts, to ensure sufficient additional information exists, but that such information isn't too advanced for the Queryee to process. This paper gives an overview of the CEE, and the underlying algorithms and data structures, and describes a system architecture and implementation details.