Trust information network in social Internet of things using trust-aware recommender systems
Social Internet of things is one of the most up-to-date research issues in the applications of Internet of things technologies. In social Internet of things, accuracy and reliability are standard features to discerning decisions. We assume that decision support systems based on social Internet of th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2020-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720908773 |
| _version_ | 1797706430367662080 |
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| author | Juyeon Son Wonyoung Choi Sang-Min Choi |
| author_facet | Juyeon Son Wonyoung Choi Sang-Min Choi |
| author_sort | Juyeon Son |
| collection | DOAJ |
| description | Social Internet of things is one of the most up-to-date research issues in the applications of Internet of things technologies. In social Internet of things, accuracy and reliability are standard features to discerning decisions. We assume that decision support systems based on social Internet of things could leverage research from recommender systems to achieve more stable performance. Therefore, we propose a trust-aware recommender systems suitable for social Internet of things. Trust-aware recommender systems adapt the concept of social networking service and utilize social interaction information. Trust information not only improves recommender systems from opinion spam problems but also more accurately predicts users’ preferences. We confirm that the performance of a recommender system becomes more improved when implicit trust is able to satisfy the properties of trust in the social Internet of things environment. The structure and amount of social link information are context-sensitive, so applying the concept of trust into social Internet of things environments requires a method to optimize implicit and explicit trust with minimal social link information. Our proposed method configures an asymmetric implicit trust network utilizing user–item rating matrix and transforms trust propagation metrics for a directional and weighted trust network. Through experiments, we confirm that the proposed methods enable higher accuracy and wider coverage compared to the existing recommendation methods. |
| first_indexed | 2024-03-12T05:51:08Z |
| format | Article |
| id | doaj.art-0eb4f15b62ab4ca690683d17508d324d |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T05:51:08Z |
| publishDate | 2020-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-0eb4f15b62ab4ca690683d17508d324d2023-09-03T05:01:51ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772020-04-011610.1177/1550147720908773Trust information network in social Internet of things using trust-aware recommender systemsJuyeon Son0Wonyoung Choi1Sang-Min Choi2Department of Computer Science, Yonsei University, Seoul, Republic of KoreaKorea Institute of Civil Engineering and Building Technology, Goyang-si, Republic of KoreaDepartment of Computer Science, Yonsei University, Seoul, Republic of KoreaSocial Internet of things is one of the most up-to-date research issues in the applications of Internet of things technologies. In social Internet of things, accuracy and reliability are standard features to discerning decisions. We assume that decision support systems based on social Internet of things could leverage research from recommender systems to achieve more stable performance. Therefore, we propose a trust-aware recommender systems suitable for social Internet of things. Trust-aware recommender systems adapt the concept of social networking service and utilize social interaction information. Trust information not only improves recommender systems from opinion spam problems but also more accurately predicts users’ preferences. We confirm that the performance of a recommender system becomes more improved when implicit trust is able to satisfy the properties of trust in the social Internet of things environment. The structure and amount of social link information are context-sensitive, so applying the concept of trust into social Internet of things environments requires a method to optimize implicit and explicit trust with minimal social link information. Our proposed method configures an asymmetric implicit trust network utilizing user–item rating matrix and transforms trust propagation metrics for a directional and weighted trust network. Through experiments, we confirm that the proposed methods enable higher accuracy and wider coverage compared to the existing recommendation methods.https://doi.org/10.1177/1550147720908773 |
| spellingShingle | Juyeon Son Wonyoung Choi Sang-Min Choi Trust information network in social Internet of things using trust-aware recommender systems International Journal of Distributed Sensor Networks |
| title | Trust information network in social Internet of things using trust-aware recommender systems |
| title_full | Trust information network in social Internet of things using trust-aware recommender systems |
| title_fullStr | Trust information network in social Internet of things using trust-aware recommender systems |
| title_full_unstemmed | Trust information network in social Internet of things using trust-aware recommender systems |
| title_short | Trust information network in social Internet of things using trust-aware recommender systems |
| title_sort | trust information network in social internet of things using trust aware recommender systems |
| url | https://doi.org/10.1177/1550147720908773 |
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