Push-Based Recommendations in Mobile Computing Using a Multi-Layer Contextual Approach
Ramón Hermoso, Sergio Ilarri, Raquel Trillo, María del Carmen Rodríguez-Hernández · 2015
Nowadays, due to the high availability of heterogeneous data sources that can provide interesting information, users usually suffer from information overload. Therefore, the development of adaptive information systems that can offer personalized information and filter out irrelevant data for a user is required. Significant work has been developed to solve this problem in the area of the so-called recommendation systems. However, context information has only started to be considered recently to build recommendation systems, despite being key to obtain more accurate recommendations. Moreover, even with some context information, there is still a significant gap between the fields of mobile computing and recommendation systems.