Contextual Recommender Systems Using a Multidimensional Approach
نویسندگان
چکیده
منابع مشابه
Contextual recommender systems using a multidimensional approach
Recommender systems use the past experiences and preferences of the target users as a basis to provide personalized recommendations for them and as the same time, solve the information overloading problem. Context as the dynamic information describing the situation of items and users and affecting the user’s decision process is essential to be used by recommender systems. Multidimensional appro...
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Item recommendations calculated by recommender systems mostly in use today, only rely on item content description, user feedback and profile information. In modern mobile services, however, contextual information and semantic knowledge can play a significant role concerning the quality of these recommendations. Therefore, the SMART Recommendations Engine of Fraunhofer FOKUS is extended by the S...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Information Systems
سال: 2013
ISSN: 2328-7675
DOI: 10.11648/j.ijiis.20130204.11