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CHI
2006
ACM
15 years 10 months ago
Increasing user decision accuracy using suggestions
The internet presents people with an increasingly bewildering variety of choices. Online consumers have to rely on computerized search tools to find the most preferred option in a...
Pearl Pu, Paolo Viappiani, Boi Faltings
IUI
2003
ACM
15 years 2 months ago
MovieLens unplugged: experiences with an occasionally connected recommender system
Recommender systems have changed the way people shop online. Recommender systems on wireless mobile devices may have the same impact on the way people shop in stores. We present o...
Bradley N. Miller, Istvan Albert, Shyong K. Lam, J...
ACISICIS
2010
IEEE
14 years 11 months ago
Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service
Abstract--Although temporal context may significantly affect the popularity of items and user preference over items, traditional information filtering techniques such as recommende...
Chan Ho Park, Minsuk Kahng
CHI
2007
ACM
15 years 10 months ago
How it works: a field study of non-technical users interacting with an intelligent system
In order to develop intelligent systems that attain the trust of their users, it is important to understand how users perceive such systems and develop those perceptions over time...
Joe Tullio, Anind K. Dey, Jason Chalecki, James Fo...
120
Voted
IMC
2010
ACM
14 years 7 months ago
The impact of YouTube recommendation system on video views
Hosting a collection of millions of videos, YouTube offers several features to help users discover the videos of their interest. For example, YouTube provides video search, relate...
Renjie Zhou, Samamon Khemmarat, Lixin Gao