DocumentCode :
3482788
Title :
Toward service recommendation in Internet of Things
Author :
Mashal, Ibrahim ; Tein-Yaw Chung ; Alsaryrah, Osama
Author_Institution :
Dept. of Comput. Sci. & Eng., Yuan Ze Univ., Jhongli, Taiwan
fYear :
2015
fDate :
7-10 July 2015
Firstpage :
328
Lastpage :
331
Abstract :
Internet of Things (IoT) is the next wave of industry revolution that generates significant amount of various services, such as personal health care and green energy monitoring, which people may subscribe for their convenience. These services may have different features, such as fixed or mobile, scalable or non-scalable, portable or non-portable. Thus, recommending IoT services to users based on objects they own will become very important for the success of IoT. In this preliminary work, we introduce the concept of service recommender systems in IoT by a formal model for IoT recommendation. We propose a graph-based recommender system that takes into account the unique structure of IoT.
Keywords :
Internet of Things; graph theory; mobile computing; recommender systems; Internet-of-things; IoT service recommendation; graph-based recommender system; green energy monitoring; personal health care; service recommender systems; social Web-of-things; Information filters; Internet of Things; Recommander Syatem; Social Web of Things; Tripartite Graph; Web of Things;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
Conference_Location :
Sapporo
ISSN :
2288-0712
Type :
conf
DOI :
10.1109/ICUFN.2015.7182559
Filename :
7182559
Link To Document :
بازگشت