Pattern Evaluation with Location Based Query Search

Authors(2) :-J. V. D Prasad, M. Sri Mounica

Customers are increasingly seeking complex task-oriented goals on the Web, such as making routes, managing finances or planning purchases. To this end, they usually break down the duties into a few co-dependent actions and problem multiple concerns around these actions repeatedly over quite a very lengthy time. To better support users in their long-term details missions on the Web, google keep track of their concerns and clicks while searching on the internet. In this document, we study the problem of organizing a user’s historical concerns into categories in an energetic and automated fashion. Instantly determining question categories is helpful for a number of different online look for engine components and applications, such as query suggestions, result position, question alterations, sessionization, and collaborative look for. So in this document we propose to develop Customized Location based Query Search method for pattern evaluation in accessing customer preference location leads to relevant details look for in relational database. This procedure automatically retrieve customer prefer locations centred on their longitude and permission of each customer in relational database.

Authors and Affiliations

J. V. D Prasad
Assistant Professor, Computer Science Department, VR Siddhartha College, Vijayawada, Andhra Pradesh, India
M. Sri Mounica
Student, Computer Science Department, VR Siddhartha College, Vijayawada, Andhra Pradesh, India

Pattern evaluation, Relational database, Query suggestion, Location based search

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 746-750
Manuscript Number : CSEIT1725112
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

J. V. D Prasad, M. Sri Mounica, "Pattern Evaluation with Location Based Query Search", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.746-750, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725112

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