Comscore, Inc.

Anchor Intelligence, Inc.

Ariba, Inc.

Vendavo, Inc.

Marc Brown

Jim Pitkow

Raman Chelliah

Simon Lee

Michael J Albanese

Narayanan Vijaykumar

Gary J Sullivan

Brian T Elkin

Hannes L Marais

Norman Adams

Paul Hegarty

Boris Putanec

Brian Carlstrom

Guy Haskin

Sean M Murphy

Correlating a network interaction is disclosed. A network interaction is detected at an advertising network. A network interaction is detected at an advertiser. The network interaction at the advertising network is correlated with the network interaction at the advertiser. The network interaction correlation is performed by a third party that is not affiliated with the advertising network or the advertiser.

Network interaction correlation

Rating a network interaction is disclosed. A rating system includes an interface for receiving, a rating determiner and an interface for providing. The interface for receiving receives one or more data regarding a new incoming network interaction originated from a third party device over a network. The rating determiner determines a rating of the network interaction based at least in part on the one or more data regarding the network interaction. The interface for providing provides the rating of the network interaction.

Determination and application of click quality

A method for analyzing network interaction data is disclosed. Initially, network interaction data is received from a network over time. A predetermined model comprising predetermined values associated with network interaction parameters is also received. The received network interaction data is processed to determine the network interaction parameters and information regarding the network interaction data. A score for the network interaction data is calculated based on the predetermined model and the determined network interaction parameters. The score is compared to a threshold. The information regarding the network interaction data is then forwarded based on the comparison of the score to the threshold.

Data transfer for network interaction fraudulence detection

Transferring metadata is disclosed. Information about a network interaction is processed to generate metadata describing the network interaction. Based on the metadata it is determined whether the metadata is to be transferred to an aggregator. In the event that the metadata is to be transferred, one or more aggregators are determined to which the metadata is to be transferred. The metadata is transferred to the one or more aggregators.

An appliance for analyzing a network interaction is disclosed. The appliance includes an input to monitor network traffic that includes a network interaction without interfering with the network traffic. The appliance further includes a processor to analyze network traffic to derive information about the network interaction wherein the information about the network interaction is used to distinguish whether the network interaction is a qualified network interaction with a user.

Network interaction monitoring appliance

Network interaction analysis is disclosed. Traffic is monitored including a network interaction. Monitoring includes monitoring at least one of TCP, HTTP, or IP layer information. The network interaction is analyzed based at least in part on a source of a transaction determined from the layer information.

Network interaction analysis

The present invention provides a system suitable for displaying price modeling data having an indexing module that calculates indexes based on price modeling data and a display module configured display a calculated index. Other embodiments provide a data aggregation module that aggregates indexes calculated by the indexing module that may be also be displayed.

System and method for generating and displaying indexed price modeling data

A software system efficiently procures operating resources within an enterprise. A requisition record generating module generates a requisition record for a requisition. The requisition record indicates at least an operating resource that a requestor desires to purchase. The requisition record generating module generates the requisition record responsive to a combination of input by a requestor and operating resource information in an operating resource information database. An approval path determining module. responsive to the requisition record and to approval rules in an approval rules database, determines an approval path for the requisition record, among various ones of a plurality of possible approvers, required to approve the requisition record. An approval path handling module guides the requisition record along the determined approval path, and the approval path handling module generates a global approval indication in response to the requisition record successfully traversing the approval path.

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Palo Alto, CA, United States of America

Marc Brown