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HT
2009
ACM
14 years 1 months ago
Improving recommender systems with adaptive conversational strategies
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Tariq Mahmood, Francesco Ricci
CHI
2006
ACM
14 years 7 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
RECSYS
2009
ACM
13 years 11 months ago
Critiquing recommenders for public taste products
Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommend...
Pearl Pu, Maoan Zhou, Sylvain Castagnos
HRI
2007
ACM
13 years 10 months ago
Learning by demonstration with critique from a human teacher
Learning by demonstration can be a powerful and natural tool for developing robot control policies. That is, instead of tedious hand-coding, a robot may learn a control policy by ...
Brenna Argall, Brett Browning, Manuela M. Veloso
BCSHCI
2007
13 years 8 months ago
Expert habits vs. UI improvements: re-design of a room booking system
This paper presents the results of a case study examining prototyping as a method in re-designing a user interface (UI). In the case presented, a web-based room booking was re-des...
Per A. Jonasson, Morten Fjeld, Aiko Fallas Yamashi...