Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
نویسندگان
چکیده
منابع مشابه
Context-Aware Recommender Systems: A Review of the Structure Research
Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...
متن کاملProperties of Context-Aware Recommender Systems: A Survey
Recommender systems provide personalized recommendation for their users. These systems are still needed to be optimized to provide more effective recommendations. In some models the context of user and the item is considered during the recommendation process so that it would be possible to make a better estimation of the user's rating. In this article context aware recommender models are addres...
متن کاملContext-Aware Recommender Systems Evaluation
As the amount of data provided by various software systems increases, there is a need to offer a filtered set of items personalized to user's needs. To enhance user's comfort and thus to satisfy him, we call for recommender system. Recommender systems suggest a set of items that a user might be interested in or might find them useful. Basically, accomplishing recommendation task consists of two...
متن کاملContext-Aware Music Recommender Systems
Recommender Systems (RSs) are software tools and techniques providing suggestions for items to be of use to a user [20]. In the music domain recommender systems can support information search and discovery tasks by helping the user to find relevant music items, for instance, new music tracks, or artists that the user may not even know [18, 9]. Several techniques have been proposed but most of t...
متن کاملA Context Modelling System and Learning Tool for Context-Aware Recommender Systems
A critical contextual modelling issue in context-aware recommender systems research has to do with developing domain and application specific models that offer no reuse and sharing capabilities. Developers and researchers struggle to design their own models without any guidance, often resulting in overspecialized, inefficient and incomplete context models. On the basis of a prior work, we have ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Learning Technologies
سال: 2012
ISSN: 1939-1382,2372-0050
DOI: 10.1109/tlt.2012.11