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» Modeling Preferences in a Distributed Recommender System
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ACL
2010
14 years 7 months ago
A Latent Dirichlet Allocation Method for Selectional Preferences
The computation of selectional preferences, the admissible argument values for a relation, is a well-known NLP task with broad applicability. We present LDA-SP, which utilizes Lin...
Alan Ritter, Mausam, Oren Etzioni
ATAL
2006
Springer
15 years 1 months ago
Specifying and resolving preferences among agent interaction patterns
A strength of commitment protocols is that they enable agents to act flexibly, thereby enabling them to accommodate varying local policies and respond to exceptions. A consequent ...
Ashok U. Mallya, Munindar P. Singh
IROS
2006
IEEE
204views Robotics» more  IROS 2006»
15 years 3 months ago
Distributed Sensing and Prediction of Obstacle Motions for Mobile Robot Motion Planning
— This work recommends an architecture and its fundamental components for motion planning for mobile robots in dynamic environments. An adaptive behavior to typical motion patter...
Thorsten Rennekamp, Kai Homeier, Torsten Kroeger
ATAL
2010
Springer
14 years 10 months ago
Preference elicitation for risky prospects
Minimax-regret preference elicitation allows intelligent decisions to be made on behalf of people facing risky choices. Standard gamble queries, a vital tool in this type of prefe...
Greg Hines, Kate Larson
RECSYS
2010
ACM
14 years 9 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street