Abstract: A computer-implemented system and method for identifying tasks using temporal footprints is provided. A database of temporal footprints is maintained. Each temporal footprint is representative of a different task and includes one or more significant patterns of two or more sequential events. Events performed by one or more users are tracked. At least one pattern including sequential occurrences of two or more of the tracked events is identified. The identified pattern is compared to each of the significant patterns of the temporal footprints. A footprint score for the identified pattern is determined with respect to each temporal footprint. The task associated with the temporal footprint having the highest footprint score is assigned to the identified pattern.

Abstract: A system and computer-implemented method for generating temporal footprints to identify tasks is provided. One or more events performed by a user during execution of a task is recorded. Patterns including sequences of two or more of the events are identified. Each pattern occurs at a plurality of occurrences. A determination of whether each pattern is significant is made. A temporal distance between the events in each pattern occurrence for each pattern is identified. A pattern value is determined for each pattern based on a number of occurrences and the associated temporal distance. The pattern value is applied to a significance level. At least one of the patterns is determined to be significant when the pattern value satisfies the significance level. A temporal footprint is generated for the executed task and includes the significant patterns.

Abstract: A system and computer-implemented method for generating temporal footprints to identify tasks is provided. One or more events performed by a user during execution of a task is recorded. Patterns including sequences of two or more of the events are identified. Each pattern occurs at a plurality of occurrences. A determination of whether each pattern is significant is made. A temporal distance between the events in each pattern occurrence for each pattern is identified. A pattern value is determined for each pattern based on a number of occurrences and the associated temporal distance. The pattern value is applied to a significance level. At least one of the patterns is determined to be significant when the pattern value satisfies the significance level. A temporal footprint is generated for the executed task and includes the significant patterns.

Abstract: A system and method for providing print advertisements is presented. A target audience is assembled from characteristics about readers. Advertising content is targeted to the target audience. The characteristics of the target audience are analyzed against the advertising content to identify potential advertisers. At least one of the potential advertisers is selected. At least one print advertisement for the selected advertiser is included on the document.

Abstract: A system and method for providing advertisements in online and hardcopy mediums is presented. Advertising content is targeted to a target audience. The characteristics of the target audience are analyzed against the advertising content to identify potential advertisers. At least one of the potential advertisers is selected. One or more advertisements for the selected advertiser is included on a document. The document is provided on at least one of online and hardcopy mediums.