Abstract: A selection of a broadcast media ad network and a set of parameters including one or both of a goal and a constraint associated with an advertising campaign is received. Based at least in part on said selection and said set of parameters an advertising proposal, the advertising proposal is determined including an identification of a set of broadcasters associated with the selected broadcast media ad network and for each a corresponding advertising plan portion of the advertising proposal. Information representing the advertising proposal is caused to be displayed at a node from which said selection and set of parameters were received.

Abstract: In accordance with an embodiment, systems and methods described herein can be used, for example with a content management system, to provide recommendations to categorize/classify content into user-defined categories, which in turn provides an opportunity for content managers to place new content into accurate categories effortlessly, based on previously evaluated/categorized content. A recommendation system or tool can use artificial intelligence (AI) techniques to continuously learn from past data, and assist in placing content into a relevant category through automatic categorization/classification of newly created/edited content. The recommendation tool can be implemented and applied across diverse domains by generating feature vectors from contents, creating clusters in the feature space based on previously categorized content, and recommending a category for new content through feature space distance calculation from the clusters.

Abstract: One or more event trigger rules is stored, each event trigger rule including a trigger condition and a corresponding action. An indication is received that the trigger condition associated with a triggered event trigger rule has been satisfied. The corresponding action associated with the triggered event trigger rule is performed, based at least in part on the indication, wherein the corresponding action comprises a behavior associated with an audio advertising campaign.

Abstract: A selection of a broadcast media ad network and a set of parameters including one or both of a goal and a constraint associated with an advertising campaign is received. Based at least in part on said selection and said set of parameters an advertising proposal, the advertising proposal is determined including an identification of a set of broadcasters associated with the selected broadcast media ad network and for each a corresponding advertising plan portion of the advertising proposal. Information representing the advertising proposal is caused to be displayed at a node from which said selection and set of parameters were received.

Abstract: A selection of a broadcast media ad network and a set of parameters including one or both of a goal and a constraint associated with an advertising campaign is received. Based at least in part on said selection and said set of parameters an advertising proposal, the advertising proposal is determined including an identification of a set of broadcasters associated with the selected broadcast media ad network and for each a corresponding advertising plan portion of the advertising proposal. Information representing the advertising proposal is caused to be displayed at a node from which said selection and set of parameters were received.

Abstract: Inventory data representing for each of a plurality of broadcast stations a corresponding inventory of audio advertising spots available from that broadcast station to be filled by an advertising exchange system is stored. One or more sets of advertising campaign data, each representing a set of advertising objectives of an advertising campaign, is received via a demand side interface. The inventory data is received via a supply side interface. The inventory data is used to determine for each advertising campaign a corresponding set of advertising spots to be associated with that advertising campaign.

Abstract: Technologies pertaining to the creation of personalized data for an individual, including personalized data based on a social networking participant's social networking data, entity extraction, and automatic collage generation are described herein. In one implementation, the personalized data is used to provide a personalized, social-based replacement for a default UI element. In one implementation, a disambiguated named entity is extracted from user generated content in a social networking application, a socially interesting photomontage is automatically generated based on photographs from a social networking application, and the photomontage is rendered with hotspots containing socially relevant annotations.

Abstract: Audience data received from a plurality of audience data sources is stored. An advertising goal defined at least in part by reference to one or more audience attributes is received. Audience data from two or more of said audience data sources is used to determine an advertising plan to meet the advertising goal.

Abstract: Architecture that interfaces entities such as a search engine with a social network, by enabling both entities to share a common storage. Search behavior is modeled as a search social graph that incorporates both search behavior and user relationships. The data in the graph can be data mined, and related aggregations (stories) can be surfaced to users of the architecture via websites of both entities. To facilitate collaboration, users can further interact on the aggregations by repeating a query, commenting on a query, and/or suggesting links. This interactive feedback activity can also be modeled and recorded into the search social graph, which generates further aggregations. The positive feedback cycle, as part of the architecture, encourages collaboration and interaction on an aggregation.

Abstract: The disclosed architecture provides one or more techniques for selecting social contacts and selecting queries in order to populate the visible space of an activity feed (e.g., social search). A technique is provided that prioritizes selection of social contacts for display in a social search activity feed. Another technique is provided that selects queries for display in the social search activity feed. The architecture also provides visual presentation of the social search activity feed information. These techniques ensure an interesting variety of contributors and content while maintaining a time-ordered presentation paradigm.

Abstract: Sharing of search histories is facilitated with a computer based system and method that allow a searcher to share search results generated without prior authentication of an identity with a search engine. Sharing and collaboration are further facilitated by allowing search history items to be shared with a minimum of additional searcher input. Context for the search history items is provided by associating a search query with an accessed document link without requiring separate tagging of the link by the searcher.

Abstract: Technologies pertaining to the creation of personalized data for an individual, including personalized data based on a social networking participant's social networking data, entity extraction, and automatic collage generation are described herein. In one implementation, the personalized data is used to provide a personalized, social-based replacement for a default UI element. In one implementation, a disambiguated named entity is extracted from user generated content in a social networking application, a socially interesting photomontage is automatically generated based on photographs from a social networking application, and the photomontage is rendered with hotspots containing socially relevant annotations.

Abstract: Sharing of search histories is facilitated with a computer based system and method that allow a searcher to share search results generated without prior authentication of an identity with a search engine. Sharing and collaboration are further facilitated by allowing search history items to be shared with a minimum of additional searcher input. Context for the search history items is provided by associating a search query with an accessed document link without requiring separate tagging of the link by the searcher.