Vijay Raghavan

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Most engines used for searching information resources via the Internet employ the Boolean Retrieval Model. Two main drawbacks of this model are that users have difficulty to precisely formulate their concept (or, topic) of interest using Boolean logic and the resulting output is not ranked. We propose to address both these problems by employing a(More)
Web-based information retrieval systems may result in poor levels of precision and recall when users are required to articulate their own queries. Concept-based information retrieval attempts to solve this problem by allowing users to select from concept definitions specified by experts. However, it is unrealistic to expect experts to define every concept(More)
Many information resources available over the Internet only provide browsing and pre-defined navigation capabilities. If the user is interested in simple word matches on documents as a whole, search engines such as Yahoo or AltaVista may be adequate. For resources of high volume, the user should be able to specify preferences and just obtain the relevant(More)
Web search engines retrieved the large amount of data that is stored in the web database. Internet is the best way to access the data across the world and it present information in user friendly manner. Search engines are designed to retrieved information matching with the user query. When query is submitted web pages are retrieved. Web pages may contain(More)
We are living in the age of global interconnectivity where Internetand related communication technology reign supreme and has taken aplace of basic necessity in business as well as daily routine. Thisinterconnectivity is enhanced extremely with the help of SearchEngine. Tools of Search Engine enable us to find information on theweb database rapidly. On the(More)