Context-Aware Recommendation via Graph-Based Contextual Modeling and Postfiltering
نویسندگان
چکیده
منابع مشابه
Similarity-Based Context-Aware Recommendation
Context-aware recommender systems (CARS) take context into consideration when modeling user preferences. There are two general ways to integrate context with recommendation: contextual filtering and contextual modeling. Currently, the most effective context-aware recommendation algorithms are based on a contextual modeling approach that estimate deviations in ratings across different contexts. ...
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ژورنال
عنوان ژورنال: International Journal of Distributed Sensor Networks
سال: 2015
ISSN: 1550-1477,1550-1477
DOI: 10.1155/2015/613612