NDLI: A framework for reputation model based on time and trust aware Heteroscedastic Gaussian process

Content Provider	IEEE Xplore Digital Library
Author	Singh, S.I. Sinha, S.K.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Tezpur Univ., Napam, India (Singh, S.I.; Sinha, S.K.)
Abstract	The evaluation of reputation of Web services on the user side is of paramount importance while selecting a web service. Due to dynamic nature of environment where web services are deployed and accessed, evaluation of service trust based on reputation feedback is highly time dependent. The correct evaluation is always influenced by the trustworthiness of the source of feedback as perceived by the evaluator, and also by the correctness (precision) of the feedback. The paper presents, a framework for a time and trust aware mechanism for inference and prediction of reputation using Heteroscedastic Gaussian process regression (HGPR) model. The model accepts, as input, the reputation feedback from third party sources and predicts the real reputation value.
Starting Page	16
Ending Page	20
File Size	379890
Page Count	5
File Format	PDF
ISBN	9781467367073
e-ISBN	9781467367080
DOI	10.1109/ISACC.2015.7377308
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-14
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heteroskedastic Gaussian process regression Gaussian process Computational modeling Predictive models Regression Reputation Trust
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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