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Paper Details

Paper Title
Recommendation and suggestion System For Easy Tourism
Abstract
optimal route search using spatial keyword query focus on keyword searching using best keyword cover query which is a form of spatial keyword query. It operates on spatial objects stored in spatial database and comes with algorithms that can retrieve answer in a fast manner. Best keyword cover query aims to find objects associated with keywords. The method proposed considers keyword rating, keyword relevance and spatial relevance. It also helps to retrieve data based on Boolean range query. Location based social network (LBSN) services allow users to perform check in and share their check in data with their friends. In particular, when a user is traveling, the check in Data is in fact a travel route with some photos and tag information. As a result, a massive number of routes are generated, which play an essential role in many well established research areas, such as mobility prediction, urban planning and traffic management. In this paper, we focus on trip planning and intend to discover travel experiences from shared data in location based social networks. To facilitate trip planning, the prior works in provide an interface in which a user could submit the query region and the total travel time. In contrast, we consider a scenario where users specify their preferences with keywords. For example, when planning a trip in Sydney, one would have “Opera House”. As such, we extend the input of trip planning by exploring possible keywords issued by users.
Keyword
Spatial keyword query ,spatial objects, spatial database, best keyword cover query.
Others Details
Paper Id : 84039
Author Name : Kajal Pachpande
Co-Author Name(s) : Monisha MohananDarshana ZodageHarshali ThakareKavita Jadhav
Volume/Issue No : Volume 04 Issue 11
Page No : 239-242
DOI Number : DOI:10.21090/IJAERD.84039
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 5.71, SJIF-2017
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406
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