Abstract: A method for an online information system includes tracking user interactions with the online information system, storing profile information for the user based on the user interactions, and providing user access to modify the user's profile information. This system improves confidence in system for users who are reluctant to have their online activity tracked by the system operator. The user has access to all information that the system operator has for the user, and can edit or correct that information.

Abstract: A system and method to facilitate display of advertising information contextually related to web pages requested by users within a network are described. A request to display a web page is received from a user through a network. The web page and associated content information are further retrieved from a data storage module. One or more categories associated with the web page are retrieved from the data storage module based on the context information of the web page. Advertisements related to the URL of the web page and the associated page category or categories are next retrieved from an advertising storage module. Finally, the web page, the associated content information, and the related advertisements are transmitted to the user for further display on the user's client machine.

Abstract: A system and method to facilitate targeting of advertisements based on mutual information sharing between devices over a network are described. Users access an entity over a network and further initiate various events, which are subsequently captured by selective processing servers within the network-based entity. Each of such events or actions initiated by the user is associated with one or more categories and is further stored within the entity along the respective categories. Subsequently, if the user connects to one or more media devices, and the media devices are coupled to the entity via the network, then the entity selects advertisements to be displayed within the viewing area of the media device, such that each advertisement is related to the stored events or actions and their respective categories. Alternatively, a user connects to one or more media devices and further performs specific actions.

Abstract: A system and method to facilitate targeting of advertisements based on mutual information sharing between devices over a network are described. Users access an entity over a network and further initiate various events, which are subsequently captured by selective processing servers within the network-based entity. Each of such events or actions initiated by the user is associated with one or more categories and is further stored within the entity along the respective categories. Subsequently, if the user connects to one or more media devices, and the media devices are coupled to the entity via the network, then the entity selects advertisements to be displayed within the viewing area of the media device, such that each advertisement is related to the stored events or actions and their respective categories. Alternatively, a user connects to one or more media devices and further performs specific actions.

Abstract: A system and method to facilitate targeting of advertising based on buzz-related information in a network, wherein users access an entity through the network, such as the Internet, and request content from the entity or initiate other events based on various topics of interest at the time of each event. These topics of interests, also referred to as buzz data, are aggregated over time as temporal interests for certain categories. The buzz data corresponding to one or more relevant topics of interest for a majority of users is stored and updated continuously. Subsequent to receipt of the request for content from a user, the requested content and buzz advertising information related to selected buzz data are retrieved, the buzz advertising information being targeted to the user viewing the page or the requested content based on one or more predetermined parameters associated with the user or the content. Finally, the retrieved content and buzz advertising information are displayed to the user.

Abstract: A system and method to facilitate expansion, disambiguation, and optimization of search queries over a network wherein an original query received from a user is parsed to obtain at least one query term. One or more filtered queries are retrieved from a database, each of the filtered queries corresponding to one or more advertising offers related contextually to the at least one query term. Selection of advertising content associated with the advertising offers is optimized based on one or more predetermined parameters, the advertising content to be displayed for the user in conjunction with query results of the original query and the one or more filtered queries.

Abstract: A system and method to facilitate expansion, disambiguation, and optimization of search queries over a network wherein an original query received from a user is parsed to obtain at least one query term. A plurality of keywords related contextually to one or more query terms are further retrieved from a database. Finally, a set of modified queries is generated, each modified query further comprising at least one query term and at least one retrieved keyword.

Abstract: A system including a plurality of web servers configured to serve base content and relevant content to a user system; a set of additional-content servers configured to serve the relevant content to the web servers if units in the user profile match units associated with the relevant content; a parsing server configured to extract the units in the user profile from the base content requested by the user and generate a ranked list of the units in the user profile; and a unit-matching module configured to determine whether the units in the user profile match units associated with the relevant content if the user requests the base content, wherein the web servers are configured to serve the base content and the relevant content if the units in the user profile match units associated with the relevant content.

Abstract: A system for determining associations between base content and relevant content and for publishing the base content and relevant content on a client browser. The system includes a parsing module configured to parse the base content to form parsed base content; a unit-dictionary module including a plurality of query units; a unit-extraction module configured to extract query units included in the unit dictionary from the parsed base content, wherein the query units extracted from the base content are referred to as the extracted-query units; a unit-ranking module configured to rank the extracted-query units based on at least one of relevance scores and revenue-generation amounts for the query units; and a unit-matching module configured to generate at least one association between the base content and the relevant content based on whether the extracted-query units and at least one of query units and keywords associated with the relevant content are the same.