An approach to Collaborative Context Prediction

Context prediction approaches forecast future contexts based on known context patterns to adapt e.g., services in advance. In the case of the user's context history not providing suitable context information for the observed context pattern, to the best of our knowledge context prediction algor...

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Bibliographic Details
Main Authors: Voigtmann, C, Lau, S L, David, K
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Collaboration
collaborative
Context
context awareness
context prediction
History
hosvd
Prediction algorithms
Tensile stress
tensor decomposition
Training
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Summary:Context prediction approaches forecast future contexts based on known context patterns to adapt e.g., services in advance. In the case of the user's context history not providing suitable context information for the observed context pattern, to the best of our knowledge context prediction algorithms will fail to forecast the appropriate future context. To overcome the gap of missing context information in the user's context history, we propose the Collaborative Context Prediction (CCP) approach. CCP utilises the collaborative characteristics of existing recommendation systems of social networks. To evaluate the CCP method an experimental comparison of the proposed method against the local Alignment context predictor is carried out.
DOI:10.1109/PERCOMW.2011.5766929