Abstract
In this paper, a new automated information retrieval system is presented. The design of such system relies on the components used in computer based information system (CBIS) Its efficiency and effectiveness play an important role in the success of the automated information retrieval system. The main objective of this work is to help Internet users to find the required information with high performance. Finding information on an object's visual features is useful when specific keywords for the object are not known. Since intelligent mobile agent technology is expected to be a promising technology for information retrieval, there is a number of intelligent mobile agent based-information retrieval approaches have been proposed in recent years. Multiple information agents continuously traverse the Internet and collect images that are subsequently indexed based on image information such as the URL location, size, type and the date of indexation. In the search phase, the intelligent mobile agent receives the image of object as a query. Then, the fast searching algorithm presented in [31] is used to search the set of web pages that contain information about the object. Furthermore, different models of information retrieval are studied. In addition, intelligent adversarial information retrieval is described. Moreover, different methods for measuring the performance of information retrieval are discussed.