Paper Details

— optimal route search using spatial keyword query focus on keyword searching using best keyword coverquery which is a form of spatial keyword query. It operates on spatial objects stored in spatial database and comes withalgorithms that can retrieve answer in a fast manner. Best keyword cover query aims to find objects associated withkeywords. The method proposed considers keyword rating, keyword relevance and spatial relevance. It also helps toretrieve data based on Boolean range query. Location based social network (LBSN) services allow users to performcheck in and share their check in data with their friends. In particular, when a user is traveling, the check in Data is infact a travel route with some photos and tag information. As a result, a massive number of routes are generated, whichplay an essential role in many well established research areas, such as mobility prediction, urban planning and trafficmanagement. In this paper, we focus on trip planning and intend to discover travel experiences from shared data inlocation based social networks. To facilitate trip planning, the prior works in provide an interface in which a user couldsubmit the query region and the total travel time. In contrast, we consider a scenario where users specify theirpreferences with keywords. For example, when planning a trip in Sydney, one would have “Opera House”. As such, weextend the input of trip planning by exploring possible keywords issued by users.

Kajal Pachpande, Monisha Mohanan, Darshana Zodage, Harshali Thakare, Kavita Jadhav, “Recommendation and suggestion System For Easy Tourism”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 239-242, November 2017.