TY - JOUR
T1 - Interactive Content Diversity and User Exploration in Online Movie Recommenders
T2 - A Field Experiment
AU - Sun, Ruixuan
AU - Akella, Avinash
AU - Kong, Ruoyan
AU - Zhou, Moyan
AU - Konstan, Joseph A.
N1 - Publisher Copyright:
© 2023 Taylor & Francis Group, LLC.
PY - 2023
Y1 - 2023
N2 - Recommender systems often struggle to strike a balance between matching users’ tastes and providing unexpected recommendations. When recommendations are too narrow and fail to cover the full range of users’ preferences, the system is perceived as useless. Conversely, when the system suggests too many items that users don’t like, it is considered impersonal or ineffective. To better understand user sentiment about the breadth of recommendations given by a movie recommender, we conducted interviews and surveys and found out that many users considered narrow recommendations to be useful, while a smaller number explicitly wanted greater breadth. Additionally, we designed and ran an online field experiment with a larger user group, evaluating two new interfaces designed to provide users with greater access to broader recommendations. We looked at user preferences and behavior for two groups of users: those with higher initial movie diversity and those with lower diversity. Among our findings, we discovered that different levels of exploration control and users’ subjective preferences on interfaces are more predictive of their satisfaction with the recommender.
AB - Recommender systems often struggle to strike a balance between matching users’ tastes and providing unexpected recommendations. When recommendations are too narrow and fail to cover the full range of users’ preferences, the system is perceived as useless. Conversely, when the system suggests too many items that users don’t like, it is considered impersonal or ineffective. To better understand user sentiment about the breadth of recommendations given by a movie recommender, we conducted interviews and surveys and found out that many users considered narrow recommendations to be useful, while a smaller number explicitly wanted greater breadth. Additionally, we designed and ran an online field experiment with a larger user group, evaluating two new interfaces designed to provide users with greater access to broader recommendations. We looked at user preferences and behavior for two groups of users: those with higher initial movie diversity and those with lower diversity. Among our findings, we discovered that different levels of exploration control and users’ subjective preferences on interfaces are more predictive of their satisfaction with the recommender.
KW - Human-recommender interaction
KW - interactive recommendation
KW - pigeonholing
KW - user exploration
UR - http://www.scopus.com/inward/record.url?scp=85173740693&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85173740693&partnerID=8YFLogxK
U2 - 10.1080/10447318.2023.2262796
DO - 10.1080/10447318.2023.2262796
M3 - Article
AN - SCOPUS:85173740693
SN - 1044-7318
JO - International journal of human-computer interaction
JF - International journal of human-computer interaction
ER -