Skyline based Keyword Search Aware Repeated Queries from Incentive Environment
T. Srilatha1, K. Subrahmanyam2, K. Amarendra3
1T. Srilatha, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
2K. Subrahmanyam, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
3K. Amarendra, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1305-1309 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6370058719/19©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: Efficient query retrieval is an aggressive concept in real time data retrieval in terms of photos, videos and other’s data. Data retrieval from different source based on user historical in different streams via mobile data records. User preference is also an aggressive concept to explore data from different sources. User preference is described based on identification of points of interest (POI) like in travel route communication, for better query results extraction from different data sources. In this paper, we propose Hybrid frame work which consists of query profile and skyline data retrieval calculation method. Proposed approach consists of update skyline query calculation which preservers Meta data about data retrieval based on user preference and location of user which gives updated results with respect to relevant data from different data sources. Experimental results of proposed approach gives better and efficient query retrieval with respect to time and other attributes in real time query based search engine applications.
Keyword: Data retrieval, Location-Based Search, Travel Route Recommendation, Skyline Query, Hybrid Query Profiler, Query Profiler and Update Query.
Scope of the Article: Component-Based Software Engineering.