@inproceedings{92f7ecda42c44e17800c8506ac6106c6,
title = "Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment",
abstract = "Recommendation systems are crucial for providing services to the elderly with Alzheimer{\textquoteright}s disease in IoT-based smart home environments. Therefore, we present a Reminder Care System to help Alzheimer patients live safely and independently in their homes. The proposed recommendation system is formulated based on a contextual bandit approach to tackle dynamicity in human activity patterns for accurate recommendations meeting user needs without their feedback. Our experiment results demonstrate the feasibility and effectiveness of the proposed Reminder Care System in real-world IoT-based smart home applications.",
keywords = "Contextual bandit, IoT, Recommender system",
author = "Altulayan, \{May S.\} and Chaoran Huang and Lina Yao and Xianzhi Wang and Salil Kanhere",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 32nd Australasian Database Conference, ADC 2021 ; Conference date: 29-01-2021 Through 05-02-2021",
year = "2021",
doi = "10.1007/978-3-030-69377-0\_4",
language = "English",
isbn = "9783030693763",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "37--49",
editor = "Miao Qiao and Gottfried Vossen and Sen Wang and Lei Li",
booktitle = "Databases Theory and Applications - 32nd Australasian Database Conference, ADC 2021, Proceedings",
address = "Germany",
}