Work

Toward personalized AI-powered recommender systems to support users’ daily music choice experiences

Year: 2025

Type: article

Source: International Journal of Human-Computer Studies

DOI: 10.1016/j.ijhcs.2025.103574

Authors: Youngsoo Shin, Krithik Ranjan, Michael C. Kowalski, Jungkyoon Yoon

Institutions: Pace University, Cornell University, University of Colorado Boulder, Syracuse University

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Award: CAREER: Using Positive Emotion Regulation to Design Everyday Technologies that Promote Well-being

OpenAlex ID: W4411334233

FWCI: 4.318

Cites: 94

Cited by: 6

Related to: 10