Context-aware recommender for mobile learners
نویسندگان
چکیده
منابع مشابه
A Context-Aware Mobile Recommender
THE WORLD POPULATION’S average age has been increasing gradually over the past 50 years mainly because of medical and healthcare advances. However, millions of people suffer from chronic respiratory diseases, arthritis, and back pain.1 In addition, exposure to air pollution causes millions of illnesses and premature deaths annually worldwide2 and harms the health of children, the elderly, and p...
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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...
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We are witnessing more and more mobile recommender systems applied in e-tourism, utilizing contextual information in order to boost productivity and user experience by generating more tailored suggestions to them. In the meantime, the design of these applications is getting more and more user-centered. Context of use is playing an important role in the appropriateness of a user interface (UI). ...
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Most existing approaches in Mobile Context-Aware Recommender Systems focus on recommending relevant items to users taking into account contextual information, such as time, location, or social aspects. However, none of them has considered the problem of user’s content evolution. We introduce in this paper an algorithm that tackles this dynamicity. It is based on dynamic exploration/exploitation...
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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...
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ژورنال
عنوان ژورنال: Human-centric Computing and Information Sciences
سال: 2014
ISSN: 2192-1962
DOI: 10.1186/s13673-014-0012-z