Aproximity Basedprivacy-Preserving Location Aware Keyword Query Suggestion (Lks) In Geo-Based Social Applications

Abstract

A Spatial Keyword query is an approach of searching qualified spatial objects by considering both the query requester’s location and user specified keywords. Taking both spatial and keyword requirements into account, the goal of a spatial keyword query is to efficiently find results that satisfy all the conditions of a search. Searching is a common activity happening in data mining. This motivated to develop methods to retrieve spatial objects.A spatial objects consists of objects associated with spatial features. In other words, spatial objects involve spatial data along with longitude and latitude of location. The importance of spatial databases is reflected by the convenience of modeling entities of reality in a geometric manner. For example, locations of restaurants, hotels, hospitals and so on are often represented as points in a map, while larger extents such as parks, lakes, and landscapes often as a combination of rectangles. The location aware keyword (LKS) query suggestion method helps retrieve documents which relates to information provides by user and location where the user is located. However the search results’ relevance is known to be correlated with the spatial proximity of the user. n this paper we give brief study all the techniques for the keyword suggestions and discuss about location-aware keyword query suggestion framework and improved Partition Based algorithm