Applications of Cognitive Intelligence in the Information Retrieval Process and Associated Challenges

1. Introduction

The process of Information retrieval is regularly a incessant activity during which research problems are refined using multiple information repositories, applying information repossession techniques and using correct mining services and then proper evaluation techniques are used for validity of the output. Information Retrieval system has given rise to innovative idea in research and development using hard core techniques as well as soft computing strategies to fulfil the requirements (Rath et.al, 2019) . The paradigm of cognitive dynamic systems (CDSs) can provide a framework under which a continuously learning cognitive module can be designed. In particular, CDS theory describes a basic vocabulary of components that can be used as the founding blocks of a module capable to learn behavioural rules from continuous active interactions with the environment. This quality is the fundamental to deal with dynamic situations. A general CDS based approach tracking approach has been planned where a CDS inspired design can lead to the self adaptability of a Bayesian tracker in fusing heterogeneous object features, overcoming size change issues. The experimental results on infrared sequences show how the proposed framework is able to outperform other existing far object tracking methods (Rath et.al, 2019).

Normally, the unit for a ranking model in a Web IR system is a Web page, which is, sometimes, just an information fragment. A larger unit considering the linkage information may be desired to reduce the cognitive overload for users to identify the complete information from the interconnected Web. Ranking models are planned to measure the relevance of the whole Web site where some illustrations are made to show the idea during simulation and provide evidences to indicate its effectiveness(Rath et.al, 2019).