Utilization of Real Time Behavior and Geographical Attraction for Location Recommendation
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- Utilization of Real Time Behavior and Geographical Attraction for Location Recommendation
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Integrating geographical and temporal influences into location recommendation: a method based on check-ins
In the online-to-offline (O2O) business model, location recommendation plays an important role and is an essential component of the location-based services. The check-in data, which contains both the geographical and temporal information, has been ...
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach
SIGSPATIAL'13: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information SystemsWith the rapidly growing location-based social networks (LBSNs), personalized geo-social recommendation becomes an important feature for LBSNs. Personalized geo-social recommendation not only helps users explore new places but also makes LBSNs more ...
Exploiting Geographical Neighborhood Characteristics for Location Recommendation
CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge ManagementGeographical characteristics derived from the historical check-in data have been reported effective in improving location recommendation accuracy. However, previous studies mainly exploit geographical characteristics from a user's perspective, via ...
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![cover image ACM Transactions on Spatial Algorithms and Systems](/cms/asset/5d683dc9-cd45-4efb-9b97-dd739ffda056/3488003.cover.jpg)
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Association for Computing Machinery
New York, NY, United States
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- National Natural Science Foundation of China
- Natural Sciences and Engineering Research Council of Canada
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