Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations

This paper presents an experiment on newsreaders’ behavior and preferences on the interaction with online personalized news. Different recommendation approaches, based on consumption profiles and user location, and the impact of personalized news on several aspects of consumer decision-making are ex...

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Main Authors: Paula Viana, Márcio Soares, Rita Gaio, Amilcar Correia
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/11/7/350
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spelling doaj-1e684963a4e5451abc2ef40de1194c772020-11-25T03:07:24ZengMDPI AGInformation2078-24892020-07-011135035010.3390/info11070350Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized RecommendationsPaula Viana0Márcio Soares1Rita Gaio2Amilcar Correia3School of Engineering, Polytechnic of Porto, 4249-015 Porto, PortugalINESC TEC―Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, PortugalCentre of Mathematics, University of Porto, 4169-007 Porto, PortugalPúblico SA, 4050-453 Porto, PortugalThis paper presents an experiment on newsreaders’ behavior and preferences on the interaction with online personalized news. Different recommendation approaches, based on consumption profiles and user location, and the impact of personalized news on several aspects of consumer decision-making are examined on a group of volunteers. Results show a significant preference for reading recommended news over other news presented on the screen, regardless of the chosen editorial layout. In addition, the study also provides support for the creation of profiles taking into consideration the evolution of user’s interests. The proposed solution is valid for users with different reading habits and can be successfully applied even to users with small consumption history. Our findings can be used by news providers to improve online services, thus increasing readers’ perceived satisfaction.https://www.mdpi.com/2078-2489/11/7/350information filteringnews personalizationrecommender systemsuser study
collection DOAJ
language English
format Article
sources DOAJ
author Paula Viana
Márcio Soares
Rita Gaio
Amilcar Correia
spellingShingle Paula Viana
Márcio Soares
Rita Gaio
Amilcar Correia
Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations
Information
information filtering
news personalization
recommender systems
user study
author_facet Paula Viana
Márcio Soares
Rita Gaio
Amilcar Correia
author_sort Paula Viana
title Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations
title_short Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations
title_full Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations
title_fullStr Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations
title_full_unstemmed Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations
title_sort consumer attitudes toward news delivering: an experimental evaluation of the use and efficacy of personalized recommendations
publisher MDPI AG
series Information
issn 2078-2489
publishDate 2020-07-01
description This paper presents an experiment on newsreaders’ behavior and preferences on the interaction with online personalized news. Different recommendation approaches, based on consumption profiles and user location, and the impact of personalized news on several aspects of consumer decision-making are examined on a group of volunteers. Results show a significant preference for reading recommended news over other news presented on the screen, regardless of the chosen editorial layout. In addition, the study also provides support for the creation of profiles taking into consideration the evolution of user’s interests. The proposed solution is valid for users with different reading habits and can be successfully applied even to users with small consumption history. Our findings can be used by news providers to improve online services, thus increasing readers’ perceived satisfaction.
topic information filtering
news personalization
recommender systems
user study
url https://www.mdpi.com/2078-2489/11/7/350
work_keys_str_mv AT paulaviana consumerattitudestowardnewsdeliveringanexperimentalevaluationoftheuseandefficacyofpersonalizedrecommendations
AT marciosoares consumerattitudestowardnewsdeliveringanexperimentalevaluationoftheuseandefficacyofpersonalizedrecommendations
AT ritagaio consumerattitudestowardnewsdeliveringanexperimentalevaluationoftheuseandefficacyofpersonalizedrecommendations
AT amilcarcorreia consumerattitudestowardnewsdeliveringanexperimentalevaluationoftheuseandefficacyofpersonalizedrecommendations
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