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» Explaining recommendations generated by MDPs
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EXACT
2008
13 years 7 months ago
Explaining recommendations generated by MDPs
There has been little work in explaining recommendations generated by Markov Decision Processes (MDPs). We analyze the difculty of explaining policies computed automatically and id...
Omar Zia Khan, Pascal Poupart, James P. Black
AIPS
2003
13 years 6 months ago
Recommendation as a Stochastic Sequential Decision Problem
Recommender systems — systems that suggest to users in e-commerce sites items that might interest them — adopt a static view of the recommendation process and treat it as a pr...
Ronen I. Brafman, David Heckerman, Guy Shani
ICDE
2007
IEEE
110views Database» more  ICDE 2007»
13 years 11 months ago
Embedding Emotional Context in Recommender Systems
Emotional context is becoming a promising paradigm to develop more intuitive and sensitive recommender systems. Ambient Recommender Systems, arise from the analysis of new trends ...
Gustavo González, Josep Lluís de la ...
APIN
2008
110views more  APIN 2008»
13 years 4 months ago
Explaining inferences in Bayesian networks
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall sh...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
RECSYS
2009
ACM
13 years 11 months ago
Generating transparent, steerable recommendations from textual descriptions of items
We propose a recommendation technique that works by collecting text descriptions of items and using this textual aura to compute the similarity between items using techniques draw...
Stephen J. Green, Paul Lamere, Jeffrey Alexander, ...