Disseminating trust information in wearable communities

2000 ◽  
Vol 4 (4) ◽  
pp. 245-248 ◽  
Author(s):  
Jay Schneider ◽  
Gerd Kortuem ◽  
Joe Jager ◽  
Steve Fickas ◽  
Zary Segall
Keyword(s):  
2016 ◽  
Vol 43 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Mehdi Hosseinzadeh Aghdam ◽  
Morteza Analoui ◽  
Peyman Kabiri

Recommender systems have been widely used for predicting unknown ratings. Collaborative filtering as a recommendation technique uses known ratings for predicting user preferences in the item selection. However, current collaborative filtering methods cannot distinguish malicious users from unknown users. Also, they have serious drawbacks in generating ratings for cold-start users. Trust networks among recommender systems have been proved beneficial to improve the quality and number of predictions. This paper proposes an improved trust-aware recommender system that uses resistive circuits for trust inference. This method uses trust information to produce personalized recommendations. The result of evaluating the proposed method on Epinions dataset shows that this method can significantly improve the accuracy of recommender systems while not reducing the coverage of recommender systems.


2017 ◽  
Vol 33 (1) ◽  
pp. 37-54 ◽  
Author(s):  
Betsy Van der Veer Martens

Author(s):  
Ben Jackson ◽  
Genevieve Joy

Mahindra Firstchoice illustrates the process of ecosystem orchestration in the context of the second-hand car market in India. It describes how Mahindra Firstchoice mapped the ecosystem in relation to six key parties—consumers who were buyers, consumers who were sellers, car manufacturers, independent used-car dealers, independent car service workshops, and banks. It then identified the bottlenecks and ‘pain points’ that afflicted the six parties. The used-car market did not function properly because of lack of trust, information, and transparency and Mahindra Firstchoice worked with the parties to identify solutions to the market failures. These involved, amongst other things, the creation of third-party car inspection services, the establishment of a multi-brand car-dealer franchise, a warranty system, a bluebook of second-hand prices and transactions, and a car diagnosis and repair system.


Author(s):  
Dana M. Williams

Implicit in the study of social movements is the fact that movements require many people collectively participating together in some fashion to succeed. Social capital—the valuable social connections individuals have with others—is one way of approximating people's relationships to each other. Movements both require social capital in order to form and succeed, but movements also create social capital while organizing. This chapter explores the ideas from major social capital theorists, including James Coleman, Pierre Bourdieu, and Robert Putnam, and considers the value of social capital (which is infrequently utilized in movement analysis) for anarchist movements. Important attributes of social capital, such as trust, information channels, norms, and others receive particular focus. A closer inspection suggests that the dense networks of anarchist association serve as a bulwark against state repression, but also alienates the movement from wider audiences, unless efforts are not made to popularize discursive frames and organizing methods. The World Values Survey is used to explore the extent to which anarchist-inclined people—who trust in others, but lack confidence in government—throughout the world are more apt to protest and advocate revolution.


Author(s):  
Paolo Massa

This chapter discusses the concept of trust and how trust is used and modeled in online systems currently available on the Web or on the Internet. It starts by describing the concept of information overload and introducing trust as a possible and powerful way to deal with it. It then provides a classification of the systems that currently use trust and, for each category, presents the most representative examples. In these systems, trust is considered as the judgment expressed by one user about another user, often directly and explicitly, sometimes indirectly through an evaluation of the artifacts produced by that user or his/her activity on the system. We hence use the term “trust” to indicate different types of social relationships between two users, such as friendship, appreciation, and interest. These trust relationships are used by the systems in order to infer some measure of importance about the different users and influence their visibility on the system. We conclude with an overview of the open and interesting challenges for online systems that use and model trust information.


2019 ◽  
Vol 11 (19) ◽  
pp. 5377 ◽  
Author(s):  
Hangeun Lee ◽  
Seong Ho Lee

The purpose of this study is to investigate the effect of partner firms’ corporate social responsibility (CSR) activities on long-term relationships in business-to-business (B2B) industries. We developed a research model to capture the correlations between a partner firm’s CSR reputation (i.e., business practice, CSR reputation, and philanthropic CSR reputation), trust, information sharing, risk–reward sharing, and long-term relationships. Drawing on the stakeholder and social exchange theories, we hypothesized that a partner firm’s CSR reputation would affect long-term relationships through trust, information sharing, and risk–reward sharing. Through empirical analysis, we found that business practice CSR is positively related to long-term relationships through trust and B2B partnership. We also present some theoretical and managerial implications of this study.


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