The influence of temporal and spatial features on the performance of next-place prediction algorithms
Author:
Affiliation:
1. TU Darmstadt, Darmstadt, Germany
2. ETH Zurich, Zurich, Switzerland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2493432.2493467
Reference25 articles.
1. Using GPS to learn significant locations and predict movement across multiple users
2. Getting closer
3. Place Learning via Direct WiFi Fingerprint Clustering
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