A survey on trust and reputation models for Web services: Single, composite, and communities

Wahab, Omar Abdel; Bentahar, Jamal; Otrok, Hadi; Mourad, Azzam

doi:10.1016/j.dss.2015.04.009

Cited by 120 publications

(61 citation statements)

References 25 publications

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“…При этом считается, что ожидаемое качество результата, получаемого от участника, не убывает с ростом его репутации. Существует множество моделей для вычисления репутации [56][57][58], а также работ по противодействию попыткам «обмана» механизма уточнения репутации (например, [59,60]). …”

Section: 2unclassified

Quality Control Methods in Crowd Computing: Literature Review

Пономарев¹

2017

Тр. СПИИРАН

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А.В. ПОНОМАРЕВ МЕТОДЫ ОБЕСПЕЧЕНИЯ КАЧЕСТВА РЕЗУЛЬТАТОВ В СИСТЕМАХ КРАУД-ВЫЧИСЛЕНИЙ: АНАЛИТИЧЕСКИЙ ОБЗОРПономарев А.В. Методы обеспечения качества результатов в системах крауд-вычислений: аналитический обзор. Аннотация. В настоящее время все большее распространение получают крауд-вычисления, то есть привлечение к задачам обработки информации широкого круга людей, взаимодействующих посредством инфокоммуникационных технологий. Тем не менее практическое применение этой технологии в значительной мере сдерживается неопределенностью качества получаемых результатов. В этих условиях задача систематизации сведений об используемых на данный момент методах обеспечения качества и идентификации перспективных направлений их развития является особенно актуальной. В статье обсуждаются результаты систематического обзора журнальных публикаций полнотекстовых баз ScienceDirect и IEEE Xplore, вышедших после 2012 года. Выделены наиболее распространенные на данный момент направления в обеспечении качества, используемые модели и принимаемые допущения, обозначены границы применимости методов. Отмечено, что наибольшее распространение получили методы, основанные на согласовании оценок, полученных от разных участников, и методы, основанные на применении теоретико-игровых моделей.Ключевые слова: крауд-вычисления, человеко-машинные вычисления, краудсорсинг, социальные вычисления, человеко-машинные системы, человеческие факторы, систематический обзор литературы.

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Section: 2unclassified

Quality Control Methods in Crowd Computing: Literature Review

Пономарев¹

2017

Тр. СПИИРАН

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“…They experimented with Epinions.com dataset and concluded that their model is similar to existing trust models which use a variety of information together with complete historical information. Paper [44] is a survey on the classifications and the findings related to problem solving in trust and reputation in the area of Web services. These works stresses on considering reviews for computing reputation and trust.…”

Section: Review Mining For Computing Reputation and Trustmentioning

confidence: 99%

Reputation Systems: Evaluating Reputation Among All Good Sellers

Jha

Ramu

Shenoy

et al. 2017

Data-Enabled Discov. Appl.

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A reputation system assists people selecting whom to trust, encourages trustworthy action, and discourages participation of unskilled or dishonest. The "all good reputation" problem is common in current reputation systems, especially in e-commerce domain, making it difficult for buyers to choose credible sellers. Observing high growth of online data in Hindi language, in this paper, we propose a reputation system in this language. The functions of this system include (1) review mining for different criteria of online transactions, (2) calculation of reputation rating using Bayesian method, (3) calculation of reputation weight using typed dependency relation representation and Latent Dirichlet Allocation topic modeling technique for each criteria from user reviews, and (4) ranking sellers based on computed reputation score. Extensive simulations conducted on eBay dataset and TripAdvisor dataset show its effectiveness in solving "all good reputation" problem. So far, as our knowledge is concerned, this is the first work in Hindi language on reputation system. Keywords E-commerce · Hindi · Natural language processing · Reputation system · Review mining Highlights -The proposed Reputation System is a solution to "all good reputation" problem in e-commerce domain.Vandana Jha vjvandanajha@gmail.com 1 Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India -Our system is implemented on Hindi language Product reviews and Hotel reviews. It can be easily extended to any reviews in e-commerce domain by using language specific parser and tagger. -Several experiments have been performed and the results obtained are more accurate in ranking the sellers. -Our system is compared with existing system for ranking the sellers. The sellers which were at the same rank using existing system, can be accurately ranked at different levels using our approach.

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“…In addition, different customers may be concerned with different QoS attributes, while the same QoS attributes may be given different priorities by different customers. Recently, trust-based social approaches to evaluating service quality have come into existence [9,10]. Trust is personalized and subjective reflecting an individual's opinion on a service's quality.…”

Section: Introductionmentioning

confidence: 99%

A Customer-Centric Trust Evaluation Model for Personalized Service Selection

Zhang

Fan

2018

Scientific Programming

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Trust is a very important criterion when service customers select desired Web services from a cluster of Web services with the same function. Most existing trust models cannot effectively implement personalized service selection with regard to consumer preferences and expectations. This paper designs a novel trust management method based on peer-to-peer network and presents a customer-centric trust evaluation model for personalized service selection. The trust evaluation model firstly maintains consumerto-consumer trust values that are calculated according to preference similarity between customers, secondly gathers ratings on services submitted by other consumers, then synthesizes customer-to-customer trust and these ratings to generate personalized consumer-to-service trust, and finally selects the desired services according to the expected trust levels presented by customers. This paper conducts some experiments to demonstrate the details of service selection. Experimental results show that this model has good applicability to implement personalized service selection. The proposed model well simulates the reality.

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A survey on trust and reputation models for Web services: Single, composite, and communities

Cited by 120 publications

References 25 publications

Quality Control Methods in Crowd Computing: Literature Review

Quality Control Methods in Crowd Computing: Literature Review

Reputation Systems: Evaluating Reputation Among All Good Sellers

A Customer-Centric Trust Evaluation Model for Personalized Service Selection

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