Abstract
Recent developments on mobile location information have driven efforts to mine user patterns of interest. Even start-up companies survey user interests to enrich their business. All medium and large organizations are paying attention to collect and store location data. With the support of unlimited computing power and memory of mobile phones we can apply proficient Deep Learning algorithms to determine an optimal solution for user interests. In this article, we aim to complete an overall survey on evolution of Location Based Services and the improvements in recent trends. We have categorized the evolution period in to three divisions covering from the year 2000 to till date.
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