Yahoo! Inc.

Excalibur Ip, LLC

Anand Madhavan

Matthew Carinio

Shyam Kapur

Hongche Liu

Darshan Vishwanath Kantak

Hongfeng Yin

Eric Leu

Majid Mohazzab

A system is described for serving data matching content in a search engine marketing system. The system may include a processor, an interface and a memory. The memory may be operatively connected to the processor and may store a page, a content related to the page, a set of terms and a data. The interface may be operatively connected to the memory and the processor and may be used to communicate with a user. The processor may identify a page and a content, perform a semantic analysis on the content to generate a set of terms, match the set of terms to a data, add the data to the page, and the serve the page to a user via the interface.

System for serving data that matches content related to a search results page

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.

Vertical search expansion, disambiguation, and optimization of search queries

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.

Content-management system for user behavior targeting

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. The actions are then transmitted to the entity via the network and are stored within the entity along with respective categories associated with each user action. Subsequently, if the user connects to the entity through a client machine and through the network, the entity selects advertisements to be displayed within the display area of the client machine along with content information requested by the user, such that each selected advertisement is related to the previously stored events or actions and their respective categories.

Targeting of advertisements based on mutual information sharing between devices over a network

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.

A system and method utilize temporal targeting of content, such as advertisements. The targeting may be based on time of day, day of year, season or upcoming holidays. In addition, prior search history may be utilized to determine current popularity and/or predict future popularity for a particular concept that may be used for targeting.

Temporal targeting of advertisements

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.

Growing community of inventors

Milpitas, CA, United States of America

Anand Madhavan