Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders

Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders

Acquisition of context poses unique challenges to mobile context-aware recommender systems. The limited resources in these systems make minimizing their context acquisition a practical need, and the uncertainty in the mobile environment makes missing and erroneous context inputs a major concern. In...

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Bibliographic Details
Main Authors: YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
Subjects:
Recommender systems
context-awareness
Bayesian networks
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/1210
https://ink.library.smu.edu.sg/context/sis_research/article/2209/viewcontent/Discovering_and_Exploiting_Causal_Dependencies_for_Robust_Mobile_Context_Aware_Recommenders__edited_.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/1210
https://ink.library.smu.edu.sg/context/sis_research/article/2209/viewcontent/Discovering_and_Exploiting_Causal_Dependencies_for_Robust_Mobile_Context_Aware_Recommenders__edited_.pdf

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