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Article

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Title

Affective recommender systems in online news industry: how emotions influence reading choices

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2019

Published in

User Modeling and User-Adapted Interaction

Journal year: 2019 | Journal volume: vol. 29 | Journal number: no. 2

Article type

scientific article

Publication language

english

Keywords
EN
  • recommender systems
  • affective computing
  • emotion analysis
  • emotion mining
  • news recommendations
Date of online publication

19.11.2018

Pages (from - to)

345 - 379

DOI

10.1007/s11257-018-9213-x

URL

https://link.springer.com/article/10.1007/s11257-018-9213-x

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

200

Ministry points / journal in years 2017-2021

200

Impact Factor

4,682

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