Abstract: A method and a system for providing a recommended content item is disclosed to an electronic device. The method comprises displaying a first digital content item on a digital content display; and receiving data indicative of a movement of the electronic device. Based on the data, generating a geo-track associated with the electronic device. Based on the geo-track and an exposure perimeter of the digital content display, determining a likelihood parameter indicative of the user having been exposed to the first digital content item. In response to the likelihood parameter being above a threshold, verifying if a topic of the first digital content item is aligned with a user profile associated with the user stored in the online user profile database. In the affirmative, selecting a second digital content item sharing the topic of the first digital content item and transmitting the second digital content item to the electronic device.

Abstract: A method and system for providing a digital content item to an electronic device having a display screen with an exposure perimeter. The method comprises receiving a set of data packets indicative of a presence of a group of users located within the exposure perimeter, the group of users comprising one or more users; determining a profile parameter of each of the one or more users of the group of users, the profile parameter being indicative of profile characteristics of the one or more users; executing an impression bid process to determine a digital content item based on the one or more profile parameters of the group of users and the respective set of campaign parameters, the digital content item having a highest resultant bidding value; and transmitting the digital content item to the electronic device for display.

Abstract: A method and server for generating a traffic prediction for a target zone is provided. The traffic is caused by feedback and non-feedback vehicles in the target zone. Feedback vehicles are associated with devices that provide signals. The method comprises: tracking signals of devices entering a sample zone which comprise coordinates of devices; processing the signals tracked for the devices, the processing comprises: determining an actual number of feedback vehicles in the sample zone; computing a fill rate parameter which is indicative of an estimated total number of vehicles in the sample zone; and determining a feedback ratio which is indicative of an estimated proportion of feedback and non-feedback vehicles in the sample zone; determining an actual number of feedback vehicles entering the target zone; and generating the traffic prediction for the target zone which is indicative of an estimated number of non-feedback vehicles causing traffic in the target zone.

Abstract: A method and server for generating a traffic prediction for a target zone is provided. The traffic is caused by feedback and non-feedback vehicles in the target zone. Feedback vehicles are associated with devices that provide signals. The method comprises: tracking signals of devices entering a sample zone which comprise coordinates of devices; processing the signals tracked for the devices, the processing comprises: determining an actual number of feedback vehicles in the sample zone; computing a fill rate parameter which is indicative of an estimated total number of vehicles in the sample zone; and determining a feedback ratio which is indicative of an estimated proportion of feedback and non-feedback vehicles in the sample zone; determining an actual number of feedback vehicles entering the target zone; and generating the traffic prediction for the target zone which is indicative of an estimated number of non-feedback vehicles causing traffic in the target zone.

Abstract: A method and server for generating a traffic prediction for a target zone is provided. The traffic is caused by feedback and non-feedback vehicles in the target zone. Feedback vehicles are associated with devices that provide signals. The method comprises: tracking signals of devices entering a sample zone which comprise coordinates of devices; processing the signals tracked for the devices, the processing comprises: determining an actual number of feedback vehicles in the sample zone; computing a fill rate parameter which is indicative of an estimated total number of vehicles in the sample zone; and determining a feedback ratio which is indicative of an estimated proportion of feedback and non-feedback vehicles in the sample zone; determining an actual number of feedback vehicles entering the target zone; and generating the traffic prediction for the target zone which is indicative of an estimated number of non-feedback vehicles causing traffic in the target zone.