Abstract: Provided are systems, methods, and computer-readable media for providing recommended entities responsive to a search query based on a query-specific subset of contacts from a user's social graph. A search query is received from a user that includes an identifier identifying a subset of the user's social graph. The entities responsive to the search query are identified, and those entities having evaluations by or other associations with contacts from the identified subset are also identified. In response to the search query, those entities having associations with the contacts in the identified subset of the user's social graph are provided as recommended entities in the search results.

Abstract: A system, method, and computer program product for online advertising, including computing and dynamically updating a cost-per-click (CPC) value of an advertisement for an advertisement traffic source based on a variable; and automatically uploading and distributing the advertisement to the traffic source. The variable includes price, advertisement traffic source, and/or advertiser variables. Further embodiments include dynamically updating an advertisement listing that has a cost-per-acquisition (CPA)-based value with associated CPC or cost-per-1000 (CPM) values; and distributing the advertisement listing to an advertisement distribution network that serves the listing based on the CPC or CPM values. The distribution network includes CPC-based, CPA-based, and/or CPM-based distribution networks.

Abstract: A search facility for classifying search queries prior to executing the search queries. The facility can receive a search query from a user and perform one or more of a set of evaluations of the search query to determine likely query classifications. The facility can also decompose the search query into constituent parts and perform one or more of a set of evaluations of the individual constituent parts to determine likely classifications. The facility can then arbitrate amongst the likely query classifications and rank the arbitrated likely query classifications. The ranked arbitrated query classifications can be mapped to data sources and services. The facility can retrieve content from the mapped data sources and services using the user's original search query. Each of the ranked arbitrated query classifications can correspond to a display region that can display content from the mapped one or more data sources and services to the user.

Abstract: A software and/or hardware facility that identifies and characterizes web feeds and web feed content for purposes of populating a resource with targeted content. The facility identifies web feeds and characterizes the web feeds and/or content in the web feeds using attributes from an attribute taxonomy. The characterization may be based on metadata associated with the web feed and/or on content in the web feed. Once the web feeds and/or content of the web feeds have been characterized, the web feeds and content may be appropriately selected for inclusion in a resource. The resource may be targeted to recipients based on identified characteristics of the resource or recipients.

Abstract: A system, method, and computer program product for online advertising, including generating pricing for an advertisement campaign of an advertiser paying on a Cost-Per-Click (CPC) basis or Cost-Per-Acquisition (CPA) based on internal tracking metrics and/or pricing and performance analysis of advertisements from an advertising distribution network; and distributing the advertisement as a CPC-based advertisement and/or CPA-based advertisement to an advertising distribution network.

Abstract: A system, method, and computer program product for online advertising, including computing and dynamically updating a cost-per-click (CPC) value of an advertisement for an advertisement traffic source based on a variable; and automatically uploading and distributing the advertisement to the traffic source. The variable includes price, advertisement traffic source, and/or advertiser variableS. Further embodiments include dynamically updating an advertisement listing that has a cost-per-acquisition (CPA)-based value with associated CPC or cost-per-1000 (CPM) values; and distributing the advertisement listing to an advertisement distribution network that serves the listing based on the CPC or CPM values. The distribution network includes CPC-based, CPA-based, and/or CPM-based distribution networks.