Categorising Context and Using Short Term Contextual Information to Obtain Long Term Context

Duggal, Abhinav; Misra, Manoj; Srinivasaraghavan, Ramesh

doi:10.1109/trustcom.2012.2

Cited by 5 publications

References 13 publications

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Evaluating credibility of interest reflection on Twitter

Han¹,

Nakawatase²,

Oyama³

2014

International Journal of Web Information Systems

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Purpose – The purpose of this article was to confirm whether users’ interests are reflected by tweeted Web pages, and to evaluate the credibility of interest reflection of tweeted Web pages. Design/methodology/approach – Interest reflection of Twitter is investigated based on the context of sharing behavior. A context-oriented approach is proposed to evaluate the interest reflection of tweeted Web pages based on machine learning. Some different distribution models of similarity are present, and infer whether tweeted Web pages reflect respective users’ interests by analyzing user access profiles. Findings – The analysis of browsing behaviors finds that many users partially hide their own concerns, hobbies and interests, and emphasize the concerns about social phenomenon. The extensive experimental results showed the context-oriented approach is effective on real net view data. Originality/value – As the first-of-its-kind study on evaluating the credibility of interest reflection on Twitter, extensive experiments have been conducted on the data sets containing real net view data. For higher accuracy and less subjectivity, various features are generated from user’s Web view and Twitter submission background with some different context factors.

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Evaluating credibility of interest reflection on Twitter

Han¹,

Nakawatase²,

Oyama³

2014

International Journal of Web Information Systems

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Trustworthiness management in the IoT: The importance of the feedback

Nitti

Girau

Atzori

et al. 2017

2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN)

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The Internet of Things (IoT) is creating a world where physical objects are seamlessly integrated to provide advanced and intelligent services for human beings in their day-to-day life style. The realization of complex applications comes from the collaboration of groups of objects; in such a network, objects seek other devices that can provide the services they need for the implementation of the applications they are taking part to. Before exploiting the found services, it is important to evaluate to which extent the potential service providers are trustable. In the resulting trustworthiness management model, an important role is taken by the feedback generated by the consumers of the service. In this paper, we focus on the challenge of generating consistent feedback for the trust evaluation in the exchange of services in IoT. We start by discussing how the concept of feedback has been exploited so far in trust management systems; then, we analyze the different aspects of the feedback so that it results to be a multi-dimensional concept

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A software framework for enabling smart services

Lee

Kim

et al. 2012

2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA)

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Categorising Context and Using Short Term Contextual Information to Obtain Long Term Context

Cited by 5 publications

References 13 publications

Evaluating credibility of interest reflection on Twitter

Evaluating credibility of interest reflection on Twitter

Trustworthiness management in the IoT: The importance of the feedback

A software framework for enabling smart services

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