Comparing Sequential and Temporal Patterns from Human Mobility Data for Next-Place Prediction

Author:

Wang Yunlong1,Breitinger Corinna1,Sommer Björn1,Schreiber Falk1,Reiterer Harald1

Affiliation:

1. University of Konstanz, Konstanz, Germany

Publisher

ACM

Reference32 articles.

1. Bhattacharya A. and Das S.K. 2002. LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks. Wireless Networks. 8 (2002) 121--135. 10.1023/A:1013759724438 Bhattacharya A. and Das S.K. 2002. LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks. Wireless Networks. 8 (2002) 121--135. 10.1023/A:1013759724438

2. Burbey I. and Martin T.L. 2012. When Will You Be at the Office? Predicting Future Locations and Times. Springer Berlin Heidelberg. 156--175. Burbey I. and Martin T.L. 2012. When Will You Be at the Office? Predicting Future Locations and Times. Springer Berlin Heidelberg. 156--175.

3. A probabilistic kernel method for human mobility prediction with smartphones

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1. Incremental tree-based successive POI recommendation in location-based social networks;Applied Intelligence;2022-07-22

2. Things Change: Comparing Results Using Historical Data and User Testing for Evaluating a Recommendation Task;Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems;2020-04-23

3. Next Place Prediction;Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility;2018-11-06

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