Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 68 tok/s
Gemini 2.5 Pro 56 tok/s Pro
GPT-5 Medium 34 tok/s Pro
GPT-5 High 31 tok/s Pro
GPT-4o 84 tok/s Pro
Kimi K2 184 tok/s Pro
GPT OSS 120B 441 tok/s Pro
Claude Sonnet 4.5 33 tok/s Pro
2000 character limit reached

UTPO: User's Trust Profile Ontology - Modeling trust towards Online Health Information Sources (1901.01276v1)

Published 4 Jan 2019 in cs.CY

Abstract: Despite the overwhelming quantity of health information that is available online today, finding reliable and trustworthy information is still challenging, even when advanced recommender systems are used. To tackle this challenge and improve our recommended sources, we need to first understand and capture the user behavior of what is considered to be trustworthy. This paper presents a taxonomy of relevant factors that influence user' trust towards online health information sources. We design a survey experiment to validate the taxonomical factors, and propose an ontology using the taxonomy of factors, such that each user's trust could be modeled as an instance of our ontology and this could later be used programmatically to recommend trustworthy information sources. Our work will inform the design of personalized recommendation systems and websites to improve online delivery of health information.

Citations (2)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.