AN ADAPTIVE USER PROFILE MODELING AGENT IN CORPORATE INFORMATION RETRIEVAL SYSTEMS

摘要

The user interacts with the information retrieval system through interface agents by formulating queries. Queries are formulated in keywords or natural language expressions. Keywords do not express the domain and task contexts and natural language queries processing are still inefficient. Query formulation is a very determinant factor of the efficiency of the whole system. A method to take into account the task/domain context query formulation problem is discussed. The system through a feedback loop learns the user's profile and builds a set of ad hoc search agents as user customized path. This method has been tested in Hydraulics, Pneumatics and Seals web robot (HPSBot) a multi agents information retrieval system. HPSBot is a corporate Project initiated by the State Key Laboratory of Fluid Power to fill the gap between the increasing corporate Information need and the state of the information retrieval technology.