Abstract: A method of selecting websites for displaying in a quick-access field in a web browser is provided. The method includes receiving an indication of user's geographical data and selecting websites from two sub-sets of websites. The first subset of websites is based on popularity amongst other users associated with the user's geographical data. The second subset of websites is based on user's browsing history. Each of the web sites gets ranked based on: a first rank based on a popularity of the given website among some of users associated with the geographical data and a second rank for the given website based on the browser history data associated with the user. The method further includes generating a combined rank based on the first and second rank for each website from the first and second set of websites and using the combined rank for selecting web sites 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.

Abstract: A method of selecting websites for displaying in a quick-access field in a web browser is provided. The method includes receiving an indication of user's geographical data and selecting websites from two sub-sets of websites. The first subset of websites is based on popularity amongst other users associated with the user's geographical data. The second subset of websites is based on user's browsing history. Each of the web sites gets ranked based on: a first rank based on a popularity of the given website among some of users associated with the geographical data and a second rank for the given website based on the browser history data associated with the user. The method further includes generating a combined rank based on the first and second rank for each website from the first and second set of websites and using the combined rank for selecting web sites for display.