A web link retrieval framework for retrieving non redundant description based web links

This paper explores the measuring similarity between the web objects which are one of the fundamental task in information retrieval domain. This paper proposes a framework for improved and efficient web object search based on search domain. The concept of proposed approach defines the similarity between two objects (object can be a link or text content) and retrieve the related links with their content descriptor according to user´s interest. The proposed framework can retrieve the similar web objects in effective and faster way by eliminating the redundant objects. The proposed algorithm is experimentally tested and the results shows improvement in fast and effective retrieval of web links. The proposed algorithm automatically extracts web links based on user interests. Furthermore, in accordance with user interest´s web objects mined and feedbacks of users are assessed for effective retrieval with an idea of dynamically adjusting the ranking scores of Web Pages based on similarity measures.