Instance Cooperative Memory to Improve Query Expansion in Information Retrieval Systems

The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our proposal advocates the use of Instance Based Reasoning during the information retrieval process. When conducting a search, the system retrieves a previous similar search experience and traces back previous human reasoning and behavior and then replicates it in the current situation. Thus, user information retrieval experiences or instances are saved to be reused in future similar cases. The resulting cooperative memory is used for user query expansion. In order to improve the information retrieval experience, we propose to conceptualize and model both the user profile, and the information retrieval process. This leads us to define some similarity functions between user profiles and information retrieval situations. The reuse of past experiences serves to enrich the initial user query by words from documents f...

• Type: Journal
• Year: 2002
• Where: JUCS
• Authors: Lobna Jeribi, Béatrice Rumpler
• Keywords: Information Retrieval, Information Retrieval Process, JUCS 2002, User