Abstract: A method and system target an audience segment in real-time based on social activities of users. A set of keywords associated with a brand and a set of keywords associated with a first plurality of users is compared. When there is match between the two sets of keywords, a seed audience segment that includes a subset of the first plurality of users is generated. User profiles of users from the seed audience segment based on features are generated. Subsequently, model files of features, feature threshold scores, and an overall feature threshold score corresponding to the user profiles are calculated and provided to a real-time bidding (RTB) server. When the RTB server receives a bid request for a cookie, the RTB server computes a model score corresponding to the cookie based on the model files and accepts the bid request if the model score is above the overall feature threshold score.

Abstract: A method and apparatus capable of identifying a unique user across multiple devices in a computer network are provided. Device-specific and behavioral features associated with an event and a device are extracted. The device-specific features form a device signature associated the device. Hardware mobile device identifiers (IDs) are also associated with mobile application devices. Over a period of time, the behavioral features of such devices are monitored. Similarity scores between various devices are calculated based on the behavioral features and device types. The devices in the computer network are clustered and a device graph is generated representing the connections between the devices based on the similarity scores. A unique user ID associated with the multiple devices is generated from the device graph.

Abstract: Systems and methods are disclosed for characterizing one or more users accessing a plurality of web pages. In an embodiment, a social sharing graph is generated based on the one or more log records. The one or more log records are indicative of the one or more user activities. A first and a second score are assigned to preferably each of the one or more users in the social sharing graph based on the one or more log records. Finally, the one or more users are categorized in a first category and a second category based on the first score and the second score.

Abstract: A computer system for facilitating user connectivity in a computer network includes an attention manager, an identity manager, and an introduction manager. The attention manager generates data indicative of the current interests of the user. The identity manager manages data indicative of the interests of the user. The introduction manager provides a proactive contact, content, or commerce data recommendation for the dynamic introduction of contact, content, or commerce data to the user, and may also provide bilaterally secure introductions with other users.