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Using trust-based recommender systems for personalized health content

Recommender Systems intend to discover personalized items for a user based on item's descriptions and user's preferences. In Health era, Recommender Systems can be used to evaluate and extract useful personalized health content through mass of unreliable information on the web. Unlike many...

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Main Authors: Koochi, Morteza Rashidi, Che Hussin, Ab. Razak
Format: Article
Published: 2013
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QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/40780/
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spelling my.utm.407802017-08-10T04:07:59Z http://eprints.utm.my/id/eprint/40780/ Using trust-based recommender systems for personalized health content Koochi, Morteza Rashidi Che Hussin, Ab. Razak QA75 Electronic computers. Computer science Recommender Systems intend to discover personalized items for a user based on item's descriptions and user's preferences. In Health era, Recommender Systems can be used to evaluate and extract useful personalized health content through mass of unreliable information on the web. Unlike many other types of recommendations, health recommendation extremely depends on emotional, physical and psychological matters of the user. Therefore using Personal Health Records or health profiles of user for personalized recommendation is inevitable but involves considerations about trust. In this work, we try to have a review of recommendation solutions for health domain. Furthermore, we analyze them considering their trust evaluation models, and propose an initial health recommender framework. This paper describes concepts of recommendation, medicine 2.0, and trust, reviews some solutions in these areas and then analyzes three most important attributes of web 2.0 (including trust and reputation, ontology and semantics, and social network collaboration),finally, proposes a framework for harvesting personal and trustable health content through social media to recommend. As the result, some feature of web 2.0 and their role in reviewed solutions are analyzed. It displays some weaknesses in using ontologies and semantic analysis. Moreover using different methods of trust management displays the different views of researchers about the notion of trust. Developing appropriate standards and ontologies, using semantic profile and content analysis to derive trust scores, and using limited personal health information solve current drawbacks partially. 2013 Article PeerReviewed Koochi, Morteza Rashidi and Che Hussin, Ab. Razak (2013) Using trust-based recommender systems for personalized health content. Journal of Information Systems Research and Innovation (JISRI), 5 (n/a). pp. 108-115. ISSN 2289-1358
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Koochi, Morteza Rashidi
Che Hussin, Ab. Razak
Using trust-based recommender systems for personalized health content
description Recommender Systems intend to discover personalized items for a user based on item's descriptions and user's preferences. In Health era, Recommender Systems can be used to evaluate and extract useful personalized health content through mass of unreliable information on the web. Unlike many other types of recommendations, health recommendation extremely depends on emotional, physical and psychological matters of the user. Therefore using Personal Health Records or health profiles of user for personalized recommendation is inevitable but involves considerations about trust. In this work, we try to have a review of recommendation solutions for health domain. Furthermore, we analyze them considering their trust evaluation models, and propose an initial health recommender framework. This paper describes concepts of recommendation, medicine 2.0, and trust, reviews some solutions in these areas and then analyzes three most important attributes of web 2.0 (including trust and reputation, ontology and semantics, and social network collaboration),finally, proposes a framework for harvesting personal and trustable health content through social media to recommend. As the result, some feature of web 2.0 and their role in reviewed solutions are analyzed. It displays some weaknesses in using ontologies and semantic analysis. Moreover using different methods of trust management displays the different views of researchers about the notion of trust. Developing appropriate standards and ontologies, using semantic profile and content analysis to derive trust scores, and using limited personal health information solve current drawbacks partially.
format Article
author Koochi, Morteza Rashidi
Che Hussin, Ab. Razak
author_facet Koochi, Morteza Rashidi
Che Hussin, Ab. Razak
author_sort Koochi, Morteza Rashidi
title Using trust-based recommender systems for personalized health content
title_short Using trust-based recommender systems for personalized health content
title_full Using trust-based recommender systems for personalized health content
title_fullStr Using trust-based recommender systems for personalized health content
title_full_unstemmed Using trust-based recommender systems for personalized health content
title_sort using trust-based recommender systems for personalized health content
publishDate 2013
url http://eprints.utm.my/id/eprint/40780/
_version_ 1643650554571784192
score 13.211869

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