Academic Journal
A trust model for recommender agent systems.
| Τίτλος: | A trust model for recommender agent systems. |
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| Συγγραφείς: | Majd, Elham, Balakrishnan, Vimala |
| Πηγή: | Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jan2017, Vol. 21 Issue 2, p417-433, 17p |
| Θεματικοί όροι: | Recommender systems, Distribution (Probability theory), Reliability in engineering, Fuzzy logic, Multiagent systems |
| Περίληψη: | This paper aims to improve trust models in multi-agent systems based on four vital components, namely: reliability, similarity, satisfaction and trust transitivity. A number of different methods of computing these components were analyzed by considering the most representative existing trust models. The four trust components were identified from existing models then a trust model named trust transitivity-satisfaction-similarity-reliability (TtSSR) was proposed based on these components. TtSSR applied fuzzy logic for computing the identified components. Then by integrating the identified components and using Technique for Order of Preference by Similarity to Ideal Solution as a decision-making method, TtSSR selects the most trustworthy provider agent. The performance of TtSSR was compared with existing trust models using a simulator, specifically with Bayesian Network Model, Probability Certainty Distribution Model, and Dynamic Trust Model which are based on probability and TREPPS which is based on fuzzy logic. The experimental results revealed that TtSSR can significantly improve the accuracy of trust models; while the result of simulations demonstrated that the average accuracy of TtSSR in selecting a trustworthy agent is better than other models. Generally, the results indicated that when these four components were integrated, they performed significantly better in selecting a trustworthy agent as compared to other models. [ABSTRACT FROM AUTHOR] |
| Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/s00500-016-2036-y Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
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| Header | DbId: edb DbLabel: Complementary Index An: 120811418 RelevancyScore: 853 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 853.463989257813 |
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| Items | – Name: Title Label: Title Group: Ti Data: A trust model for recommender agent systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Majd%2C+Elham%22">Majd, Elham</searchLink><br /><searchLink fieldCode="AR" term="%22Balakrishnan%2C+Vimala%22">Balakrishnan, Vimala</searchLink> – Name: TitleSource Label: Source Group: Src Data: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jan2017, Vol. 21 Issue 2, p417-433, 17p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Recommender+systems%22">Recommender systems</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper aims to improve trust models in multi-agent systems based on four vital components, namely: reliability, similarity, satisfaction and trust transitivity. A number of different methods of computing these components were analyzed by considering the most representative existing trust models. The four trust components were identified from existing models then a trust model named trust transitivity-satisfaction-similarity-reliability (TtSSR) was proposed based on these components. TtSSR applied fuzzy logic for computing the identified components. Then by integrating the identified components and using Technique for Order of Preference by Similarity to Ideal Solution as a decision-making method, TtSSR selects the most trustworthy provider agent. The performance of TtSSR was compared with existing trust models using a simulator, specifically with Bayesian Network Model, Probability Certainty Distribution Model, and Dynamic Trust Model which are based on probability and TREPPS which is based on fuzzy logic. The experimental results revealed that TtSSR can significantly improve the accuracy of trust models; while the result of simulations demonstrated that the average accuracy of TtSSR in selecting a trustworthy agent is better than other models. Generally, the results indicated that when these four components were integrated, they performed significantly better in selecting a trustworthy agent as compared to other models. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00500-016-2036-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 417 Subjects: – SubjectFull: Recommender systems Type: general – SubjectFull: Distribution (Probability theory) Type: general – SubjectFull: Reliability in engineering Type: general – SubjectFull: Fuzzy logic Type: general – SubjectFull: Multiagent systems Type: general Titles: – TitleFull: A trust model for recommender agent systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Majd, Elham – PersonEntity: Name: NameFull: Balakrishnan, Vimala IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 14327643 Numbering: – Type: volume Value: 21 – Type: issue Value: 2 Titles: – TitleFull: Soft Computing - A Fusion of Foundations, Methodologies & Applications Type: main |
| ResultId | 1 |