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Authors: Aleksandra Karpus and Krzysztof Goczyla

Affiliation: Gdańsk University of Technology, Poland

Keyword(s): recommender systems, context-awareness, user profile, ontologies

Abstract: The aim of research presented here is creation of a multi-domain hybrid recommender system based on a dynamic contextual ontological user profile. Recently, we have built a contextual ontology for representing user preferences. The next step that need to be undertaken is validation of correctness and completeness of this idea of representing a user profile. We consider three context parameters: location, time and user mood. The validity of these parameters, and hence, their impact on user preferences, has been confirmed by the results of a survey among the potential users of recommendation systems. The research on knowledge aquisition and new recommendation algorithms is still in the early stages.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Karpus, A. and Goczyla, K. (2014). A Multi-domain Hybrid Recommender Systems Based on a Dynamic Contextual Ontological User Profile. In Doctoral Consortium (IC3K 2014) - DC3K; ISBN Not Available, SciTePress, pages 83-87

@conference{dc3k14,
author={Aleksandra Karpus. and Krzysztof Goczyla.},
title={A Multi-domain Hybrid Recommender Systems Based on a Dynamic Contextual Ontological User Profile},
booktitle={Doctoral Consortium (IC3K 2014) - DC3K},
year={2014},
pages={83-87},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}

TY - CONF

JO - Doctoral Consortium (IC3K 2014) - DC3K
TI - A Multi-domain Hybrid Recommender Systems Based on a Dynamic Contextual Ontological User Profile
SN - Not Available
AU - Karpus, A.
AU - Goczyla, K.
PY - 2014
SP - 83
EP - 87
DO -
PB - SciTePress