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

被引：0

作者：

Viana, Paula ^{[1
,2
]}

Soares, Marcio ^{[2
]}

Gaio, Rita ^{[3
,4
]}

Correia, Amilcar ^{[5
]}

机构：

[1] Polytech Porto, Sch Engn, P-4249015 Porto, Portugal

[2] INESC TEC Inst Syst & Comp Engn Technol & Sci, P-4200465 Porto, Portugal

[3] Univ Porto, Ctr Math, P-4169007 Porto, Portugal

[4] Univ Porto, Fac Sci, Dept Math, P-4169007 Porto, Portugal

[5] Publico SA, P-4050453 Porto, Portugal

来源：

INFORMATION | 2020年 / 11卷 / 07期

关键词：

information filtering; news personalization; recommender systems; user study; SYSTEMS;

D O I：

10.3390/info11070350

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1 / 19

页数：19

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