The Magic of Carousels: Single vs. Multi-List Recommender Systems

Author:

Rahdari Behnam1,Kveton Branislav2,Brusilovsky Peter1

Affiliation:

1. School of Computing and Information, University of Pittsburgh, USA

2. Amazon, USA

Publisher

ACM

Reference42 articles.

1. Context-Aware Recommender Systems

2. Incorporating contextual information in recommender systems using a multidimensional approach

3. Learning user interaction models for predicting web search result preferences

4. An approach to controlling user models and personalization effects in recommender systems

5. Walid Bendada , Guillaume Salha , and Bontempelli. 2020 . Carousel Personalization in Music Streaming Apps with Contextual Bandits. In Fourteenth ACM Conference on Recommender Systems. ACM, 420–425 . Walid Bendada, Guillaume Salha, and Bontempelli. 2020. Carousel Personalization in Music Streaming Apps with Contextual Bandits. In Fourteenth ACM Conference on Recommender Systems. ACM, 420–425.

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1. Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces;ACM Transactions on Recommender Systems;2024-01-30

2. Enriching Recommender Systems Results with Data about Sustainability and Ethical Standards of Brands;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

3. How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

4. AI in Education, Learner Control, and Human-AI Collaboration;International Journal of Artificial Intelligence in Education;2023-08-21

5. Multi-list interfaces for recommender systems: survey and future directions;Frontiers in Big Data;2023-08-10

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