Abstract: Techniques and technologies for caller assistance systems are described. In at least some embodiments, a system comprises: a processing component; and a caller assistance engine configured to receive a request from a calling device; select a menu execution path associated with the request, the menu execution path defining one or more operations to be performed to achieve an intent of the request; execute the menu execution path including execute the one or more operations to be performed to achieve the intent of the request; determine whether the intent of the request has been achieved; and when the intent of the request has been achieved, connect the calling device with the intent of the request or provide an alert to the calling device that the intent of the request has been achieved.

Abstract: Techniques and technologies for caller assistance systems are described. In at least some embodiments, a system comprises: a processing component; and a caller assistance engine configured to receive a request from a calling device; select a menu execution path associated with the request, the menu execution path defining one or more operations to be performed to achieve an intent of the request; execute the menu execution path including execute the one or more operations to be performed to achieve the intent of the request; determine whether the intent of the request has been achieved; and when the intent of the request has been achieved, connect the calling device with the intent of the request or provide an alert to the calling device that the intent of the request has been achieved.

Abstract: A method is provided in one example and includes receiving results of a search query initiated by a user and evaluating the received results in relation to a personal profile of the user. The personal profile includes a plurality of characteristics associated with the user and the evaluating includes comparing the plurality of characteristics to the results. The plurality of characteristics include at least one characteristic derived from observing the user's behavioral patterns over a period of time. The method further includes evaluating the results based on attributes of the user; ranking the results to generate a resultant that reflects a ranking of the results in order of likely meaningfulness to the user based on the evaluation; and communicating the resultant to the user.

Abstract: A method is provided in one example and includes receiving results of a search query initiated by a user and evaluating the received results in relation to a personal profile of the user. The personal profile includes a plurality of characteristics associated with the user and the evaluating includes comparing the plurality of characteristics to the results. The plurality of characteristics include at least one characteristic derived from observing the user's behavioral patterns over a period of time. The method further includes evaluating the results based on attributes of the user; ranking the results to generate a resultant that reflects a ranking of the results in order of likely meaningfulness to the user based on the evaluation; and communicating the resultant to the user.

Abstract: A method is provided in one example and includes receiving results for a search query initiated by a user; evaluating the results in relation to a personal profile of the user. The personal profile includes a plurality of characteristics associated with the user. The method also includes ranking the results based on the evaluation in order to generate a resultant that reflects a ranking of the results, and communicating the resultant to the user.

Abstract: Techniques are provided herein for obtaining network usage information about a plurality of users, analyzing the network usage information to detect a plurality of subjects and determine a set of relationship scores describing the strength of the relationship between users and subjects, and analyzing the sets of relationship scores to detect a plurality of virtual communities formed among the users. The virtual communities are used to detect subjects to recommend to members of the virtual communities, such as topics or content items that other users of the community have found of interest.

Abstract: A method is provided in one example and includes receiving results for a search query initiated by a user; evaluating the results in relation to a personal profile of the user. The personal profile includes a plurality of characteristics associated with the user. The method also includes ranking the results based on the evaluation in order to generate a resultant that reflects a ranking of the results, and communicating the resultant to the user.

Abstract: Techniques are provided herein for obtaining network usage information about a plurality of users, analyzing the network usage information to detect a plurality of subjects and determine a set of relationship scores describing the strength of the relationship between users and subjects, and analyzing the sets of relationship scores to detect a plurality of virtual communities formed among the users. The virtual communities are used to detect subjects to recommend to members of the virtual communities, such as topics or content items that other users of the community have found of interest.