Contexto
Author:
Affiliation:
1. Information Systems, Innovation Laboratories at BGU
2. Ben-Gurion University of the Negev
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2638728.2638781
Reference7 articles.
1. Discovery of activity patterns using topic models
2. Oh Keunhyun Han-Saem Park and Sung-Bae Cho. "A mobile context sharing system using activity and emotion recognition with Bayesian networks." Ubiquitous Intelligence & Computing and 7th ATC 2010 10.1109/UIC-ATC.2010.26 Oh Keunhyun Han-Saem Park and Sung-Bae Cho. "A mobile context sharing system using activity and emotion recognition with Bayesian networks." Ubiquitous Intelligence & Computing and 7th ATC 2010 10.1109/UIC-ATC.2010.26
3. Using time use with mobile sensor data
4. Experiences of developing and deploying a context-aware tourist guide
5. Inferring social contextual behavior from bluetooth traces
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1. Contexts Embedding for Sequential Service Recommendation;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06
2. Sensor Defense In-Software (SDI): Practical software based detection of spoofing attacks on position sensors;Engineering Applications of Artificial Intelligence;2020-10
3. Inferring Contextual Preferences Using Deep Auto-Encoding;Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization;2017-07-09
4. Enhanced situation space mining for data streams;Proceedings of the Symposium on Applied Computing;2017-04-03
5. pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts;Advances in Knowledge Discovery and Data Mining;2015
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