Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems

Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems

Predicting users’ next location allows to anticipate their future context, thus providing additional time to be ready for that context and react consequently. This work is focused on a set of LZ-based algorithms (LZ, LeZi Update and Active LeZi) capable of learning mobility patterns and estimating t...

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Bibliografski detalji
Glavni autori: Patricia Noriega-Vivas, Estrella Garcia-Lozano, Alberto Cortés-Martín, Alicia Rodriguez-Carrion, Celeste Campo, Carlos Garcia-Rubio
Format: Članak
Jezik:English
Izdano: MDPI AG 2012-06-01
Serija:Sensors
Teme:
GSM-based location
prediction
LZ
LeZi Update
Active LeZi
recommender system
ambient intelligence
ubiquitous computing
Online pristup:http://www.mdpi.com/1424-8220/12/6/7496

Internet

http://www.mdpi.com/1424-8220/12/6/7496

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