Exploring visualisation in web information retrieval

Exploring visualisation in web information retrieval

Most conventional web search engines return a small fraction of results per display in textual format. Such renderings require the user to scroll over multiple pages to find relevant results. To enhance the user’s ability to identify relevant documents among large sets of results, visualisation techniques are suggested. In addition, integrating the user in the process of query reformulation – b...

Exploring Topic-based Language Models for Effective Web Information Retrieval

The main obstacle for providing focused search is the relative opaqueness of search request—searchers tend to express their complex information needs in only a couple of keywords. Our overall aim is to find out if, and how, topic-based language models can leads to more effective web information retrieval. In this paper we explore retrieval performance of a topic-based model that combines topica...

quantum model for information retrieval in web 2.0

the study deals with the possibility of information loss in web 2.0 due to the interaction between the overload and the real information. using gottesman and preskill method, this investigation has proposed a mechanism to calculate the amount of information transformation in web 2.0. in this proposal, there are three different hilbert spaces that belong to the degrees of freedom of outside, ins...

Information Retrieval Challenges in Web

Information Retrieval Challenges in Web G.N.K.Suresh Babu S.K.Saravanan and Dr.S.K.Srivatsa Associate Professor, Department of Computer Applications, GKMCET, Chennai. Assistant Professor [SG], Department of Computer Applications, Valliammai Engineering College, Chennai, INDIA Sr.Professor – St.Joseph‘s College of Engineering, Chennai, INDIA. _____________________________________________________...

Web Information Retrieval