Users’ Responsiveness to Persuasive Techniques in Recommender Systems
Understanding user’s behavior and their interactions with artificial-intelligent-based systems is as important as analyzing the performance of the algorithms used in these systems. For instance, in the Recommender Systems domain, the accuracy of the recommendation algorithm was the ultimate goal for...
Main Authors: | Alaa Alslaity, Thomas Tran |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-07-01
|
Series: | Frontiers in Artificial Intelligence |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2021.679459/full |
Similar Items
-
A panoramic view of personalization based on individual differences in persuasive and behavior change interventions
by: Alaa Alslaity, et al.
Published: (2023-09-01) -
Persuasion and Recommendation System Applied to a Cognitive Assistant
by: Angelo COSTA, et al.
Published: (2016-11-01) -
Editorial: User Modeling and Recommendations
by: Denis Helic, et al.
Published: (2022-05-01) -
Gathering Empirical Information And Analysis Of Strategies And Techniques Of Persuasive Communication
by: Antoniya Ivanova
Published: (2023-08-01) -
When Personalization Is Not an Option: An In-The-Wild Study on Persuasive News Recommendation
by: Cristina Gena, et al.
Published: (2019-09-01)