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Adaptive KNN based recommender system through mining of user preferences
Research for the generation of reliable recommendations has been the main goal focused
by many researchers in recent years. Though many recommendation approaches have …
by many researchers in recent years. Though many recommendation approaches have …
A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining
Personalized travel package recommendation for tourists is an important task in the e-
Tourism field. With the excessive growth of data over the internet, it has become difficult to …
Tourism field. With the excessive growth of data over the internet, it has become difficult to …
A multi-dimensional context-aware recommendation approach based on improved random forest algorithm
X Li, Z Wang, L Wang, R Hu, Q Zhu - IEEE access, 2018 - ieeexplore.ieee.org
Context-aware recommender systems focus on improving recommendation accuracy by
adding contextual information and have been widely used in the real-world applications …
adding contextual information and have been widely used in the real-world applications …
Personalization in digital ecomuseums: The case of Pros-Eleusis
In comparison with a traditional museum, an “ecomuseum” is radically different: It is not
housed in a building and does not have a collection of physical objects or artifacts. It aims to …
housed in a building and does not have a collection of physical objects or artifacts. It aims to …
Incorporating multidimensional information into dynamic recommendation process to cope with cold start and data sparsity problems
Abstract Area-of-Interest (AOI) recommendation is a type of context-aware recommendation
that works based on location-based data. A context-aware recommender system should be …
that works based on location-based data. A context-aware recommender system should be …
Effective rating prediction based on selective contextual information
Many researchers have realized the importance of contextual information and focused on
designing systems that predict user's contextual preferences. In this respect, several …
designing systems that predict user's contextual preferences. In this respect, several …
A Framework for Exploiting Internet of Things for Context‐Aware Trust‐Based Personalized Services
In the last years, we have witnessed the introduction of the Internet of Things (IoT) as an
integral part of the Internet with billions of interconnected and addressable everyday objects …
integral part of the Internet with billions of interconnected and addressable everyday objects …
Recrisk: An enhanced recommendation model with multi-facet risk control
Y ** users quickly find their desired
services and promoting sales of service providers in e-commerce. However, service …
services and promoting sales of service providers in e-commerce. However, service …
Adapting new learners and new resources to micro open learning via online computation
Since the outbreak of COVID-19, an alternative way to keep students on the track,
meanwhile, prevent them from being at the risk of infection is in highly demand. Many …
meanwhile, prevent them from being at the risk of infection is in highly demand. Many …
Towards context classification and reasoning in IoT
Internet of Things (IoT) is the future of ubiquitous and personalized intelligent service
delivery. It consists of interconnected, addressable and communicating everyday objects. To …
delivery. It consists of interconnected, addressable and communicating everyday objects. To …