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Abstract
Recommender systems aim to propose potentially interesting items to a user based on his preferences or previous interaction with the system. In the last decade, researcher found out that known recommendation techniques are not sufficient to predict user decisions. It has been noticed that user preferences strongly depend on the context in which he currently is. This raises new challenges for the researchers such as how to obtain contextual information, how to model context and use it to make predictions. In this paper we discuss the main idea of context-aware recommender systems and describe paradigms for incorporating context in recommendation process with some examples. We show how important and hard task is the choice of contextual parameters, present which of them are useful in different domains and describe a method for choosing relevant context variables. We also discuss different context-aware recommender systems that utilize ontologies in different ways in the recommendation process.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- ZAGADNIENIA AKTUALNIE PORUSZANE PRZEZ MŁODYCH NAUKOWCÓW 6.- Tom II strony 367 - 371
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Karpus A.: A CONTEXT IN RECOMMENDER SYSTEMS// ZAGADNIENIA AKTUALNIE PORUSZANE PRZEZ MŁODYCH NAUKOWCÓW 6.- Tom II/ ed. Marcin Kuczera, Krzysztof Piech Kraków: Creativetime, 2016, s.367-371
- Verified by:
- Gdańsk University of Technology
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