Abstract: A system and method for predicting the geographic location of an Internet Protocol (IP) address are disclosed. A particular embodiment of the system and method includes receiving a model to predict a geographic coordinates position of a network device given traceroute information corresponding to an Internet Protocol (IP) address of the network device; receiving traceroute information corresponding to an Internet Protocol (IP) address of one or more beacons without requiring the geographic location of the one or more beacons associated with the traceroute information; generating, by use of a processor, an output model representing one or more predicted geographic coordinates corresponding to the network device based on the model and the traceroute information; and returning a result including the predicted geographic coordinates of the network device.

Abstract: A method and a system map a geographic location to a network address. At least one automated process is performed to identify a geographic location for the network address. A determination is made whether the automated process provided satisfactory geographic location information for the network address. If the automated process did not provided satisfactory geographic location information for the network address, then the network address is forwarded for manual resolution.

Abstract: Methods, systems, and apparatus for generating a model for predicting the characteristics of a user are described. A model template for predicting the one or more characteristics of the selected user is obtained. Training data comprising social relationship information and one or more user characteristics for each of one or more source users is obtained. One or more parameters of the model are determined based on the training data.

Abstract: Methods, systems, and apparatus for predicting the characteristics of a user are described. A model based on a conditional multivariate normal distribution and social relationship information between the selected user and each of one or more other users are obtained. One or more characteristics of the selected user are determined based on the model and the social relationship information. The user characteristics may be determined by adjusting the characteristics of a typical source user according to the model and the social relationship information of the selected user.

Abstract: A system and method for implementing a learning model for predicting the geographic location of an Internet Protocol (IP) address are disclosed. A particular embodiment of the system and method includes receiving a model to predict a geographic coordinates position of an Internet Protocol (IP) address, the model including one or more parameters and one or more variables associated with coordinates of the IP address and corresponding information associated with the IP address; receiving training data including a plurality of pairs of coordinates of a target IP address and corresponding information associated with the target IP address; determining, by use of a processor, the one or more parameters based on the training data and the model; and returning a result including information indicative of the determined parameters.

Abstract: Described herein are a method and a system to assign geographic locations to network blocks.