Comscore, Inc.

Anchor Intelligence, Inc.

Broadvision, Inc.

Raman Chelliah

Jim Pitkow

Marc Brown

Charles A Price

Gary J Sullivan

Eric J Golin

Chih-Cheng Hsu

John A Hempe

Wayne K Yamamoto

Stephen Harrison

Carl Dellar

Thomas A Wood

Jason S Cornez

Neal S Rutta

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

A system for facilitating commercial transactions, between a plurality of customers and at least one supplier of items over a computer driven network capable of providing communications between the supplier and at least one customer site associated with each customer. Each site includes an associated display and an input device through which the customer can input information into the system. At least one supplier is presented on the display for selection by the customer using the input device. Similarly items from a supplier can be displayed for the customer to observe. Associated with a supplier of such items is an item database including information on presented items. Pricing subsystem receives information from the item database to determine the cost associated with a presented item. In addition a customer information database stores information relating to the customer. Associated with each customer is a customer monitoring object for each customer. The customer monitoring object is created by referencing information, relating to that customer, which had been stored in the customer information database and when the customer selects a supplier. The customer monitoring object is configured to operate by responding to customer enquiries regarding a presented item by retrieving information relating to the item and presenting the information to the customer; receiving a customer's selection of a presented item; receiving customer communications, indicating a desire to receive the item; and passing a communication to initiate the delivery of the item to the customer.

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San Carlos, CA, United States of America

Raman Chelliah