Abstract: A network server (2) distributes data objects comprising user data and match estimator instructions via a telecommunication network (3) to a plurality of communication terminals (4, 4?) for rendering the user data at the communication terminals (4, 4?). Based on locally stored user profile data, the communication terminals (4, 4?) compute an affinity value according to the match estimator instructions. Depending on the computed affinity value, the communication terminals (4, 4?) select in each case the user data to be rendered. Thus, the invention makes possible targeted distribution of user data whereby the distribution/selection strategy is controlled centrally by the network server (2). At the same time, privacy of the users is guaranteed since, from outside of the communication terminal (4, 4?), it is neither possible to access the local user profile data, nor is it possible to track which user data is actually selected and rendered.

Abstract: Disclosed is a system and mechanism that virtualizes a physical queue in a retail establishment. Customers using this system have the ability to indicate they would like to pay now (i.e., enter the virtual queue) using a button on their mobile device, and then they continue shopping until the mobile device informs them to proceed to a checkout counter. In addition, the system implements features that address users waiting in the queue. One feature is about transactions within the queue. This means that customers can buy priority using their mobile device, while waiting. Another feature is targeted advertisement and recommendation of products, leading to increased impulsive purchases.

Abstract: Disclosed is a system and mechanism that virtualizes a physical queue in a retail establishment. Customers using this system have the ability to indicate they would like to pay now (i.e., enter the virtual queue) using a button on their mobile device, and then they continue shopping until the mobile device informs them to proceed to a checkout counter. In addition, the system implements features that address users waiting in the queue. One feature is about transactions within the queue. This means that customers can buy priority using their mobile device, while waiting. Another feature is targeted advertisement and recommendation of products, leading to increased impulsive purchases.