Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search
Abstract
Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search project report on web mining With advances in geo-positioning technologies and geo-location services, there are a rapidly growing amount of spatiotextual objects collected in many applications such as location based services and social networks, in which an object is described by its spatial location and a set of keywords (terms).
Consequently, the study of spatial keyword search which explores both location and textual description of the objects has attracted great attention from the commercial organizations and research communities. In the paper, we study two fundamental problems in the spatial keyword queries: top k spatial keyword search (TOPK-SK), and batch top k spatial keyword search (BTOPK-SK).
Conclusion
Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search Project report on web mining The problem of top k spatial keyword search is important due to the increasing amount of spatio-textual objects collected in a wide spectrum of applications. In the paper, we propose a novel index structure, namely IL-Quadtree, to organize the spatio-textual objects. An efficient algorithm is developed to support the top k spatial keyword search by taking advantage of the IL-Quadtree.
| Project Name | Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search |
| Project Category | Web mining and Security |
| Project Cost | 65 $/ Rs 4999 |
| Delivery Time | 48 Hour |
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