Recommender systems are heavily data-driven. In general, the more data the recommender
systems use, the better the recommendation results are. However, due to privacy and …

Recommendation systems are crucially important for the delivery of personalized services to
users. With personalized recommendation services, users can enjoy a variety of targeted …

This work conducts a systematic literature review about the domain of personalized
advertisement, and more specifically, about the techniques that are used for this purpose …

This paper presents our research on secure and accurate targeted mobile coupon delivery.
Our goal is to enable the secure delivery of targeted coupons to eligible users equipped with …

With the prosperity of mobile application markets, mobile advertising is becoming an
increasingly important economic force. In order to maximize revenue, ads are recommended …

User targeting via behavioral analysis is becoming increasingly prevalent in online
messaging services. By taking into account users' behavior information such as geographic …

With the fast growing market of mobile applications, mobile advertising attracts wide
attention from both business and research communities in recent years. Targeted mobile …

H04L63/0428—Network architectures or network communication protocols for network
security for providing a confidential data exchange among entities communicating through …

Context-aware Prediction of Human Behaviour Based on Self-Histories: Algorithms and
Applications Page 1 Context-aware Prediction of Human Behaviour Based on Self-Histories …

Advertising is an essential component of marketing communications and its industry has
rapidly adapted from bill board to internet [5]. Leppäniemi et al.[6], considers mobile …