Personalized Mobile Search Engine using Hashing Concept
Isha R. Vashi1, Kairavi D. Kanasagra2, Ankita V. Rana3, Pooja R. Panchal4
1Isha R. Vashi, B.E. Student, Department of Computer Science & Engineering, Shri S’adVidhya Mandal Institute of Technology, Bharuch (Gujarat), India.
2Kairavi D. Kanasagra, B.E. Student, Department of Computer Science & Engineering, Shri S’adVidhya Mandal Institute of Technology, Bharuch (Gujarat), India.
3Ankita V. Rana, B.E. Student, Department of Computer Science & Engineering, Shri S’adVidhya Mandal Institute of Technology, Bharuch (Gujarat), India.
4Pooja R. Panchal, B.E. Student, Department of Computer Science & Engineering, Shri S’adVidhya Mandal Institute of Technology, Bharuch (Gujarat), India.
Manuscript received on 9 May 2015 | Revised Manuscript received on 25 May 2015 | Manuscript Published on 30 May 2015 | PP: 78-80 | Volume-4 Issue-12, May 2015 | Retrieval Number: L20710541215/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main goal of the our system is to search results according to location and content concept with multiple preferences. In our system effort of nearest neighbor algorithm is applied for efficient and effective search result. Personalize Mobile Search Engine System is associated with web based application and mobile application. In mobile application, GPS is used for searching nearest location. The purpose of this paper is to search result with minimum execution time using data mining algorithm and hashing concept .We can find nearest result to our query by using nearest neighbor algorithm in web application and nearest location concept in mobile application. Our main aim is to reduce execution time for searching query that we will implementing in our application.
Keywords: Content Concept, Hashing, Location Concept, Nearest Neighbor, Personalized Mobile Search Engine (PMSE).
Scope of the Article: Mobile Applications and Services for IoT