Abstract:
A method and apparatus are provided for detecting and explaining bursty stream events in targeted groups. In one example, the method includes receiving validated bursty events, finding explanatory data sources having relevant bursty events that are relevant to the validated bursty events, wherein the explanatory sources explain the presence of the validated bursty events, correlating the validated bursty events to the relevant bursty events of the explanatory data sources to obtain burst results, and sending the burst results to a burst database that is accessible to an end user.
Abstract:
A method and apparatus are provided for detecting and explaining bursty stream events in targeted groups. In one example, the method includes receiving validated bursty events, finding explanatory data sources having relevant bursty events that are relevant to the validated bursty events, wherein the explanatory sources explain the presence of the validated bursty events, correlating the validated bursty events to the relevant bursty events of the explanatory data sources to obtain burst results, and sending the burst results to a burst database that is accessible to an end user.
Abstract:
An embodiment of the present invention automatically detects when a user is in a state of vacillation based on user on-line behavior, records relevant parameters regarding the vacillation event, and then responds accordingly. This response may include providing relevant and/or targeted information that can be used by the user to help remove the indecision. The response may also or alternatively include providing third-party businesses, such as retailers, marketers, and advertisers, with information about vacillation events and associated behaviors for a single user or groups of users so that such businesses can identify potential markets/customers or directly engage similar users to facilitate the decision-making process.
Abstract:
An embodiment of the present invention automatically detects when a user is in a state of vacillation based on user on-line behavior, records relevant parameters regarding the vacillation event, and then responds accordingly. This response may include providing relevant and/or targeted information that can be used by the user to help remove the indecision. The response may also or alternatively include providing third-party businesses, such as retailers, marketers, and advertisers, with information about vacillation events and associated behaviors for a single user or groups of users so that such businesses can identify potential markets/customers or directly engage similar users to facilitate the decision-making process.