An Efficient Policy User Web Page Correspondence Searching for Support Query Rewriting
Shammi Shaik1, S.N.Tirumala Rao2, M.Venkata Reddy3

1Shammi Shaik, Pursuing M.Tech.(CSE), Narasaraopet Engineering College, Narasaraopeta, AP – 522601, India.
2Dr. S. N. Tirumala Rao, Professor, Computer science and engineering, Narasaraopeta Engineering College, Narasaraopet, AP -522601, India.
3Dr. Venkata Reddy, Associate Professor, Computer Science and Engineering, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh 522601, India.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 5472-5477 | Volume-8 Issue-12, October 2019. | Retrieval Number: K22760981119/2019©BEIESP | DOI: 10.35940/ijitee.K2276.1081219
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Abstract: Nowadays, Social media positions remain a favorite combination as clients studying to distribute their occurrences, activities on the network. These websites receive large quantities of user-supplied elements during the vast difference natural world results of various varieties, reach. An effective advertisement marketing approach is designed by using the products that contain the information, additionally client inclinations and conclusions on information about products. By this kind of similarity between concepts of profile, a precise matching method is developed to match the profile of the Web services and user. In this work, the approach is developed to search the concept similarity in the second phase of the process of query rewriting is performed after extraction queries. Similarity measure techniques are very much useful in processing database queries such as top-k queries, reverse top-k queries, k-nearest neighbor queries and other different types of queries related to trading sales activities.
Keywords: K-nearest Neighbor Queries, Database Queries, Database operations, attribute values, personalized search, Search Query, Information Searching in Internet, Search Engine, Jacquard Coefficient, Query Rewriting.
Scope of the Article: Web Technologies