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: The present invention relates to displaying coordinated related-search feedback in a single active window, to help a user develop, refine and select a useful search. In particular, it relates to conducting a plurality of related searches and making the results simultaneously available to the user in a coordinated display.

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: A method of creating user-generated reports. The method begins with the step of receiving information related to consumer internet behavior. That information is then assembled into a database having facts and dimensions, in which the database resides on a server, the server being connected to a communications network. The method then provides a report generation system, including a report generation module resident on the server. The module generates a report, beginning with accepting user criteria for generating a report from a front end system resident on a client computer. It then generates from the database a dataset corresponding to the first report and forwards the same to the client computer, and it displays the report generated from the first dataset. The module then reiterates the report generation steps to generate a second report, the first report remaining resident on the client computer.

Abstract: In one embodiment, a message containing message information is received in an end-user's computer. A portion of the message information is first displayed in a caption area. Preferably, the caption area only has enough information to attract the end-user's attention, or provide a hint of the information contained in a subsequently displayed slider window area. A slider window area containing another portion of the message information is displayed after the caption area. Typically, the slider window area is larger than the caption area and contains more information. If the end-user has not acted on either the caption area or the slider window area, indicating that she is not interested in the presented message information, the slider window area automatically closes after a predetermined amount of time.

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 an advanced search engine. The advanced search engine may include a client component for monitoring an end-user's browsing activity, a remote server (may comprise one or more computers) for storing and processing data received from the client component, and a module that process web pages and serves search results to end-users. The advanced search engine may collect web pages for keywords of proven interest, fetch web pages requested by end-users, generate snippets or abstracts of the web pages, eliminate duplicate web pages, rank the importance of the web pages, and provide relevant web pages or links to web pages in response to an end-user search request for information regarding one or more keywords, for example. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: In one embodiment, a method of analyzing online advertising information includes the steps of receiving consumer data from client computers, creating a database based on the consumer data, receiving user selected values from a front end, and extracting data from the database based on the user selected values. The front end may have a selection area with user selectable values that change depending on an initially selected value. In one embodiment, the database comprises an online analytical processing (OLAP) database.