New grounds for ontic trust: Information objects and LIS

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

Live Information Objects

2011 ◽  
Author(s):  
Kenneth P. Birman
Keyword(s):  
Information Objects

Modelling trust networks using resistive circuits for trust-aware recommender systems

2016 ◽  
Vol 43 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Mehdi Hosseinzadeh Aghdam ◽  
Morteza Analoui ◽  
Peyman Kabiri
Keyword(s):  
Collaborative Filtering ◽  
Recommender Systems ◽  
Recommender System ◽  
Cold Start ◽  
User Preferences ◽  
Item Selection ◽  
Trust Networks ◽  
Trust Inference ◽  
Trust Information

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.

scholarly journals Mahindra First Choice

2021 ◽  
pp. 354-362
Author(s):  
Ben Jackson ◽  
Genevieve Joy
Keyword(s):  
Third Party ◽  
Repair System ◽  
Market Failures ◽  
System A ◽  
Car Market ◽  
System P ◽  
First Choice ◽  
Used Car ◽  
The Creation ◽  
Trust Information

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.

scholarly journals Distributed Immersive Participation as Crowd-Sensing in Culture Events

2014 ◽  
Vol 7 (2) ◽  
Author(s):  
Theo Kanter ◽  
Rahim Rahmani ◽  
Jamie Walters ◽  
Willmar Sauter
Keyword(s):  
Internet Of Things ◽  
Distributed Computing ◽  
Real Time ◽  
Social Innovation ◽  
The Internet ◽  
New Paradigm ◽  
Content Creation ◽  
Crowd Sensing ◽  
Information Objects

This article investigates new forms for creating and enabling massive and scalable participatory immersive experiences in live cultural events, characterized by processes, involving pervasive objects, places and people. The multi-disciplinary research outlines a new paradigm for collaborative creation and participation towards technological and social innovation, tapping into crowd-sensing. The approach promotes user-driven content-creation and offsets economic models thereby rewarding creators and performers. In response to these challenges, we propose a framework for bringing about massive and real-time presence and awareness on the Internet through an Internet-of-Things infrastructure to connect artifacts, performers, participants and places. Equally importantly, we enable the in-situ creation of collaborative experiences building on relevant existing and stored content, based on decisions leveraging multi-criteria clustering and proximity of pervasive information, objects, people and places. Finally, we investigate some new ways for immersive experiences via distributed computing but pointing forward to the necessity to do more with regard to collaborative creation.

Social capital in anarchist movements

2017 ◽  
Author(s):  
Dana M. Williams
Keyword(s):  
Social Capital ◽  
Social Movements ◽  
Pierre Bourdieu ◽  
Movement Analysis ◽  
Social Connections ◽  
State Repression ◽  
Dense Networks ◽  
Robert Putnam ◽  
The World ◽  
Trust Information

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.

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