Abstract: The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Abstract: The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Abstract: The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Abstract: The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Abstract: A method for attributing revenue for embedded software that displays advertising. The method includes the first step of determining the presence of more than one type of embedded software on a given client site. Then, the process assigns priority based on the length of time each type has resided on the client system and the source of each type, followed by classifying each software type, based on the history of present and predecessor copies of the software. A distribution factor is applied to each software type, based on the amount of advertising displayed by each software type and the length of time each software type has been installed. The partner revenue is distributed based on the distribution factor applied to each software type and a rate table.

Abstract: The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Abstract: The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Abstract: A method for attributing revenue for embedded software. The method includes the first step of determining the presence of more than one type of embedded software on a given client site. Then, the process assigns priority based on the length of time each type has resided on the client system and the source of each type, followed by classifying each software type, based on the history of present and predecessor copies of the software. A distribution factor is applied to each software type, based on priority and classification, partner revenue is distributed based on the distribution factor applied to each software type.

Abstract: In one embodiment, an impression to be displayed in a placement of a web page is selected from candidate impressions that may be displayed in the placement. The candidate impression may be chosen based on behavioral data and a placement identifier particularly identifying the placement. The behavioral data may include categories of websites visited by an end-user on the client computer. The candidate impressions may be in learning modes, and the impression displayed in the placement may be selected based on its learning mode and revenue generation capability.

Abstract: A method for attributing revenue for embedded software. The method includes the first step of determining the presence of more than one type of embedded software on a given client site. Then, the process assigns priority based on the length of time each type has resided on the client system and the source of each type, followed by classifying each software type, based on the history of present and predecessor copies of the software. A distribution factor is applied to each software type, based on priority and classification, partner revenue is distributed based on the distribution factor applied to each software type.

Abstract: Exemplary systems and methods for updating content on a computer network are provided. In exemplary embodiments, a method includes receiving from a message delivery program on a client computer a first keyword submitted by a web browser on the client computer to an original search engine, the original search engine not being a part of the server computer, the web browser being separate from the message delivery program and providing the client computer a first search result that is different from a search result provided by the original search engine.

Abstract: In one embodiment, an impression to be displayed in a placement of a web page is selected from candidate impressions that may be displayed in the placement. The candidate impression may be chosen based on behavioral data and a placement identifier particularly identifying the placement. The behavioral data may include categories of websites visited by an end-user on the client computer. The candidate impressions may be in learning modes, and the impression displayed in the placement may be selected based on its learning mode and revenue generation capability.

Abstract: In one embodiment, an impression to be displayed in a placement of a web page is selected from candidate impressions that may be displayed in the placement. The candidate impression may be chosen based on behavioral data and a placement identifier particularly identifying the placement. The behavioral data may include categories of websites visited by an end-user on the client computer. The candidate impressions may be in learning modes, and the impression displayed in the placement may be selected based on its learning mode and revenue generation capability.

Abstract: The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Abstract: Exemplary systems and methods for updating content on a computer network are provided. In exemplary embodiments, a method includes receiving from a message delivery program on a client computer a first keyword submitted by a web browser on the client computer to an original search engine, the original search engine not being a part of the server computer, the web browser being separate from the message delivery program and providing the client computer a first search result that is different from a search result provided by the original search engine.

Abstract: The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Abstract: In one embodiment, a first search result responsive to a first search request is displayed in a presentation vehicle that is separate from a browser employed by an end-user to submit the first search request. The presentation vehicle may be a pop-under, for example. Upon detection of a second search request submitted by the end-user, the same presentation vehicle may be updated to display a second search result. In another embodiment, a presentation vehicle is employed to display a first content responsive to a first end-user behavior. An end-user behavior may be an activity that an end-user engages in while on a computer network. The end-user behavior may be navigation from one web site to another web site or submission of a search request, for example. The presentation vehicle may be updated to display a second content in response to a second end-user behavior.

Abstract: In one embodiment, a method to be performed in a client computer includes the acts of sending a request for information from a client computer to a first server computer accessible over a computer network, receiving in the client computer a first response to the request for information, and receiving in the client computer a second response to the request for information. The first server computer may include a search engine and the first response may be a search result from the search engine. The second response may be a search result presented by a message delivery program resident in the client computer. The second response may include a message content that relates to a keyword employed by the end-user in the request for information. Because the keyword represents the end-user's interest in a topic, the chance of the end-user being interested in the message content is increased.

Abstract: In one embodiment, addressing information identifying a location in a computer network is received in a computer. The location may be a website or a specific web page of a website on the Internet, for example. A keyword may be determined based on the addressing information. A search may be performed on the keyword to obtain a search result, which may be displayed in a presentation vehicle such as a pop-under, for example.

Abstract: In one embodiment, statistical information is generated in a computer network by detecting reception of documents in a client computer. A server computer is notified of the reception of the documents to allow the server computer to generate statistical information indicative of the effectiveness of an advertising campaign. The documents may comprise web pages, while the computer network may comprise the Internet.