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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mashal, I. Tein-Yaw Chung Alsaryrah, O. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Yuan Ze Univ., Jhongli, Taiwan (Mashal, I.; Tein-Yaw Chung; Alsaryrah, O.) |
| 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. |
| Starting Page | 328 |
| Ending Page | 331 |
| File Size | 292909 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479989935 |
| ISSN | 22880712 |
| DOI | 10.1109/ICUFN.2015.7182559 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-07 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Recommander Syatem Web of Things Information filters Tripartite Graph Internet of Things Social Web of Things |
| Content Type | Text |
| Resource Type | Article |
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