Abstract: Improved systems and methods for automatically discovering and filtering electronic messages. These systems and methods improve the operation of computer apparatus to achieve dramatic reductions in processing resources, data storage resources, network resources, and filter production times compared to conventional approaches. In some examples, improvements result from configuring computer apparatus to perform a unique sequence of specific electronic message processing rules in a network communications environment. In this regard, these examples are able to automatically learn the structures and semantics of machine generated electronic message headers, accelerating the ability to support new message sources and new markets. These examples provide a purchase related electronic message discovery and filtering service that is able to identify and filter purchase related electronic messages with high accuracy across a wide variety of electronic message formats.

Abstract: The disclosed computer system provides a selectively programmed Web architecture that implements a procedure and method for selectively serving to a Web page one or more electronic ads wherein the selection process is governed in part by application of a statistical algorithm. In a preferred embodiment of the inventive technology, the system manages and serves electronic ads for affiliated Web page publishers and advertisers. A computer-implemented method in accordance with the disclosed technology receives a request for an electronic advertisement for a Web page, wherein the Web page is associated with a Web page publisher, one or more electronic ads are selected using a statistics based approach, and the one or more electronic ads are communicated to the Web page for display.

Abstract: The disclosed computer system provides a selectively programmed Web architecture that implements a procedure and method for selectively serving to a Web page one or more electronic ads wherein the selection process is governed in part by application of a statistical algorithm. In a preferred embodiment of the inventive technology, the system manages and serves electronic ads for affiliated Web page publishers and advertisers. A computer-implemented method in accordance with the disclosed technology receives a request for an electronic advertisement for a Web page, wherein the Web page is associated with a Web page publisher, one or more electronic ads are selected using a statistics based approach, and the one or more electronic ads are communicated to the Web page for display.

Abstract: Systems and methods are disclosed for tracking user access to an advertisement and user transactions with an electronic commerce computer associated with the advertisement. In accordance with one aspect of the disclosed technology, a transaction tracking computer associates an identifier with each access (e.g., click) of an advertisement. Transactions that occur at the electronic commerce computer that are related to the advertisement will be reported to the transaction tracking server together with the identifier. In one embodiment, if the reported transaction is a duplicate of a previously reported transaction, then the reported transaction is determined to be invalid. In one embodiment, if the reported transaction occurs more than a predetermined amount of time after the time the identifier was initially generated, then the reported transaction will also be determined to be invalid.

Abstract: Certain implementations of the disclosed technology may include computing systems and methods for associating computing devices. According to an example implementation, a computer-implemented method is provided. The method may include determining a first set of content items associated with a first computing device and determining a second set of content items associated with a second computing device. The method may also include determining whether the first and second computing devices constitute a candidate pair. The method may also include calculating s similarity metric between the first and second computing devices based on a common set of content items shared between the devices. Finally, the method may include associating the first and second computing devices with one another.

Abstract: The disclosed technology provides systems, architectures, and methods for providing to a Web page electronic advertisements related to the content of the Web page. In one aspect, the disclosed technology manages and serves electronic advertisements for affiliated Web page publishers and advertisers. A computer-implemented method in accordance with the disclosed technology receives a request for an electronic advertisement for a Web page, wherein the Web page is associated with a Web page publisher, accesses one or more keywords appearing in the Web page, identifies one or more relevant electronic advertisements related to the keyword(s), wherein the relevant electronic advertisement(s) are associated with an advertiser affiliated with the Web page publisher, and communicates one or more the relevant electronic advertisements to the Web page for display. The disclosed technology also includes a computer executing software, wherein the executed software causes the computer to perform the steps above.

Abstract: Improved methods, systems and articles-of-manufacture permit the tracking of secondary referral sources in network-based e-commerce environments, thereby enabling advantageous commission-sharing arrangements between primary and secondary referral sources.

Abstract: Certain implementations of the disclosed technology may include computing systems and methods for associating computing devices. According to an example implementation, a computer-implemented method is provided. The method may include determining a first set of content items associated with a first computing device and determining a second set of content items associated with a second computing device. The method may also include determining whether the first and second computing devices constitute a candidate pair. The method may also include calculating s similarity metric between the first and second computing devices based on a common set of content items shared between the devices. Finally, the method may include associating the first and second computing devices with one another.