Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment
暂无分享,去创建一个
Lina Yao | Salil S. Kanhere | Chaoran Huang | Xianzhi Wang | May S. Altulyan | Lina Yao | S. Kanhere | Xianzhi Wang | Chaoran Huang
[1] A. Al-Neami,et al. A Smart Biomedical Assisted System for Alzheimer Patients , 2020, IOP Conference Series: Materials Science and Engineering.
[2] Wacharawan Intayoad,et al. Reinforcement Learning Based on Contextual Bandits for Personalized Online Learning Recommendation Systems , 2020, Wirel. Pers. Commun..
[3] Lina Yao,et al. Reminder Care System: An Activity-Aware Cross-Device Recommendation System , 2019, ADMA.
[4] Lina Yao,et al. Recommendations on the Internet of Things: Requirements, Challenges, and Directions , 2019, IEEE Internet Computing.
[5] Yang Gao,et al. A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions , 2019, PAKDD.
[6] Alzheimer's Association∗. 2019 Alzheimer's disease facts and figures , 2019, Alzheimer's & Dementia.
[7] Richard O. Oyeleke,et al. Situ-Centric Reinforcement Learning for Recommendation of Tasks in Activities of Daily Living In Smart Homes , 2018, 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC).
[8] Mehdi Dehghan,et al. A framework for cognitive Internet of Things based on blockchain , 2018, 2018 4th International Conference on Web Research (ICWR).
[9] Ruqayya Abdulrahman,et al. iCare: Applying IoT Technology for Monitoring Alzheimer's Patients , 2018, 2018 1st International Conference on Computer Applications & Information Security (ICCAIS).
[10] Quan Z. Sheng,et al. WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes , 2018, Computing.
[11] David Massimo,et al. User Preference Modeling and Exploitation in IoT Scenarios , 2018, IUI.
[12] Alzheimer’s Association. 2018 Alzheimer's disease facts and figures , 2018, Alzheimer's & Dementia.
[13] Ron Brookmeyer,et al. Forecasting the prevalence of preclinical and clinical Alzheimer's disease in the United States , 2018, Alzheimer's & Dementia.
[14] Mohammad Reza Meybodi,et al. A framework for cognitive recommender systems in the Internet of Things (IoT) , 2017, 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI).
[15] Francesco Ricci,et al. Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space , 2017, UMAP.
[16] Say Choon Lim. Helper system for managing Alzheimer's people using mobile application , 2015 .
[17] Lina Yao,et al. Exploring recommendations in internet of things , 2014, SIGIR.
[18] Diane J. Cook,et al. PUCK: an automated prompting system for smart environments: toward achieving automated prompting—challenges involved , 2012, Personal and Ubiquitous Computing.
[19] C. Nugent,et al. Developing smartphone applications for people with Alzheimer's disease , 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.
[20] Luis M. de Campos,et al. Combining content-based and collaborative recommendations: A hybrid approach based on Bayesian networks , 2010, Int. J. Approx. Reason..
[21] Megs Okoye,et al. Alzheimer’s Society , 2010, The Grants Register 2019.
[22] Wei Chu,et al. A contextual-bandit approach to personalized news article recommendation , 2010, WWW '10.
[23] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[24] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[25] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[26] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[27] M. Alsmadi,et al. Analyzing and Implementing a Mobile Reminder System for Alzheimer’s Patients , 2019 .
[28] Michael J. Pazzani,et al. Content-Based Recommendation Systems , 2007, The Adaptive Web.