Context-aware recommender systems
G Adomavicius, A Tuzhilin - Recommender systems handbook, 2010 - Springer
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …
practitioners in many disciplines, including e-commerce personalization, information …
Context-aware recommender systems: From foundations to recent developments
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …
practitioners in many disciplines, including e-commerce, personalization, information …
Characterizing context-aware recommender systems: A systematic literature review
Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …
context information that affects user preferences and situations, with the goal of …
Progress in context-aware recommender systems—An overview
Recommender Systems are the set of tools and techniques to provide useful
recommendations and suggestions to the users to help them in the decision-making process …
recommendations and suggestions to the users to help them in the decision-making process …
Experimental comparison of pre-vs. post-filtering approaches in context-aware recommender systems
U Panniello, A Tuzhilin, M Gorgoglione… - Proceedings of the third …, 2009 - dl.acm.org
Recently, methods for generating context-aware recommendations were classified into the
pre-filtering, post-filtering and contextual modeling approaches. Although some of these …
pre-filtering, post-filtering and contextual modeling approaches. Although some of these …
[HTML][HTML] Context-aware recommender systems
LC Wang, XW Meng, YJ Zhang - Ruanjian Xuebao/Journal of Software, 2012 - jos.org.cn
Context-Aware recommender systems, aiming to further improve performance accuracy and
user satisfaction by fully utilizing contextual information, have recently become one of the …
user satisfaction by fully utilizing contextual information, have recently become one of the …
Some challenges for context-aware recommender systems
Z Yujie, W Licai - 2010 5th International Conference on …, 2010 - ieeexplore.ieee.org
Recently, context-aware recommender systems (CARS), which incorporates contextual
information into recommender systems, has become one of the hottest topics in the domain …
information into recommender systems, has become one of the hottest topics in the domain …
Comparing context-aware recommender systems in terms of accuracy and diversity
U Panniello, A Tuzhilin, M Gorgoglione - User Modeling and User-Adapted …, 2014 - Springer
Although the area of context-aware recommender systems (CARS) has made a significant
progress over the last several years, the problem of comparing various contextual pre …
progress over the last several years, the problem of comparing various contextual pre …
Contextual recommendation
SS Anand, B Mobasher - Workshop on Web Mining, 2006 - Springer
The role of context in our daily interaction with our environment has been studied in
psychology, linguistics, artificial intelligence, information retrieval, and more recently, in …
psychology, linguistics, artificial intelligence, information retrieval, and more recently, in …
Context relevance assessment and exploitation in mobile recommender systems
In order to generate relevant recommendations, a context-aware recommender system
(CARS) not only makes use of user preferences, but also exploits information about the …
(CARS) not only makes use of user preferences, but also exploits information about the …