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Predicting Location Based Sequential Purchasing Events By Using Spatial, Temporal, and Social Patterns

Predicting Location Based Sequential Purchasing Events By Using Spatial, Temporal, and Social Patterns

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Predicting Location Based Sequential Purchasing Events By Using Spatial, Temporal, and Social Patterns

†In addition, fundamental findings in the deep-rooted regularity of human mobility Are providing solid scientific support for the development of predictive models. 1 idespread adoption of location-enabled systems that can track human activities has enabled the study of human mobility patterns. Data from check-in records in location-based social networks (LBSNs) and from mobile device trajectories, for example, are being mined for interesting The ability to predict a userís location opens the door to the development of anticipatory systems such as location-aware advertising, autonomous traffic control, and proactive personal assistants. Traditional predictive models of human mobility have been based primarily on spatial Sequence analysis that discovers sequence dependencies or frequent patterns. However, researchers havení tinvestigated the activity that occurs in each location, which makes it difficult to predict the outcome precisely.



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  • Model: PROJ5025
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Monday 05 September, 2016.

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