TY - JOUR
T1 - Risk "attention" or "adventure"
T2 - 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2018
AU - Kumar, Vikas
AU - Rubya, Sabirat
AU - Konstan, Joseph A.
AU - Terveen, Loren
N1 - Publisher Copyright:
Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - While recommendations systems have shown great improvements in generally predicting relevant items, they still face challenges in achieving the delicate balance between novel and familiar options. Existing works in pursuit to address the challenge have focused on the activity logs and algorithms while largely ignoring the userspecific needs and challenges in the balance users seek between novelty and familiarity. As a result, the assumptions imposed on user actions based on activity logs are limited and could lead to misinterpretation of users' needs. To better understand user needs, in this paper, we study users engaged in online music listening activity to understand users' interpretations and rationales in their novel and familiar music selections. We show that a combination of factors, both explicit and implicit, such as boredom, need of attention, risk of a bad selection; that play influential role in users' novel and familiar music selections. We discuss the findings and the implications for user interactions and user modeling that could help better understand what, when, and how users seek the balance between novelty or familiarity in their recommendations.
AB - While recommendations systems have shown great improvements in generally predicting relevant items, they still face challenges in achieving the delicate balance between novel and familiar options. Existing works in pursuit to address the challenge have focused on the activity logs and algorithms while largely ignoring the userspecific needs and challenges in the balance users seek between novelty and familiarity. As a result, the assumptions imposed on user actions based on activity logs are limited and could lead to misinterpretation of users' needs. To better understand user needs, in this paper, we study users engaged in online music listening activity to understand users' interpretations and rationales in their novel and familiar music selections. We show that a combination of factors, both explicit and implicit, such as boredom, need of attention, risk of a bad selection; that play influential role in users' novel and familiar music selections. We discuss the findings and the implications for user interactions and user modeling that could help better understand what, when, and how users seek the balance between novelty or familiarity in their recommendations.
KW - Music Recommendation
KW - Novel Versus Familiar
KW - Qualitative Study
KW - User Preferences
UR - http://www.scopus.com/inward/record.url?scp=85055572954&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055572954&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85055572954
SN - 1613-0073
VL - 2225
SP - 15
EP - 23
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 7 October 2018
ER -