Recommendation, Personalization, and Exploration / Media Content Recommendation Exploration and Control

Users exploring unfamiliar music genres struggle to understand the personal relevance of recommended content.

Similar questions

Related papers

CHI 2025

“They’ve Over-Emphasized That One Search”: Controlling Unwanted Content on TikTok's For You Page

Julie A. Vera, Sourojit Ghosh

4 items
CHI 2024

Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations

Savvas Zannettou, Olivia Nemes-Nemeth, Oshrat Ayalon

4 items
CHI 2023

Personalised Yet Impersonal: Listeners' Experiences Of Algorithmic Curation On Music Streaming Services

Sophie Freeman, Martin Gibbs, Bjorn Nansen

4 items
CHI 2023

SwitchTube: A Proof-of-Concept System Introducing "Adaptable Commitment Interfaces" as a Tool for Digital Wellbeing

Kai Lukoff, Ulrik Lyngs, Karina Shirokova

4 items
IUI 2022

TastePaths: Enabling Deeper Exploration and Understanding of Personal Preferences in Recommender Systems

Savvas Petridis, Nediyana Daskalova, Sarah Mennicken

4 items
CHI 2022

OtherTube: Facilitating Content Discovery and Reflection by Exchanging YouTube Recommendations with Strangers

Md Momen Bhuiyan, Carlos Augusto Bautista Isaza, Tanushree Mitra

4 items
IUI 2021

Non-Linear Consumption of Videos Using a Sequence of Personalized Multimodal Fragments

Gaurav Verma, Trikay Nalamada, Keerti Harpavat

4 items
IUI 2021

Interactive music genre exploration with visualization and mood control

Yu Liang, Martijn C. Willemsen

4 items
IUI 2021

The Subconscious Director: Dynamically Personalizing Videos Using Gaze Data

Melanie Heck, Janick Edinger, Jonathan Bünemann

4 items
CHI 2021

How the Design of YouTube Influences User Sense of Agency

Kai Lukoff, Ulrik Lyngs, Himanshu Zade

4 items