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Strategies for truth discovery under resource constraints

Title	Strategies for truth discovery under resource constraints
Author	Etuk, A., Norman, T. J., Oren, N., Şensoy, Murat
Publication Date:	2015
Publication Place	- ACM
Subject	Trust, Truth discovery, Diversity, Sampling
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	15488403
Record ID	72c81d71-9679-48a1-8141-4ae093acadaf
Library Location	Computer Science
Date	2015
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost.
Cilt	3

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Özyeğin University

Strategies for truth discovery under resource constraints

Author Etuk, A., Norman, T. J., Oren, N., Şensoy, Murat

Publication Date 2015

Publication Place - ACM

Subject Trust, Truth discovery, Diversity, Sampling

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 15488403

Record ID 72c81d71-9679-48a1-8141-4ae093acadaf

Library Location Computer Science

Date 2015

Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Sample Text We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost.

Cilt 3