Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for creating experiment content distribution campaigns (“experiment campaign”) and allocating content in accordance with the experiment campaign. In one aspect, a control campaign or an experiment campaign are selected as an available campaign for providing content in response to receiving a content request. The selection can be a probability constrained selection where the probability with which the experiment campaign is selected is specified as a portion of a total number of requests received during an experiment period for which the experiment campaign is available to provide content. Content is provided in response to the request, where the provided content being content corresponding to the selected campaign.

Abstract: Keywords and placement criteria related to a campaign are received. An advertisement request that specifies a web property, e.g., a web page, is received, and keywords and placement criteria that are satisfied by the web property are identified. Based on the identified keywords and placement criteria, an advertisement to be provided with the web property is selected.

Abstract: Keywords and placement criteria related to a campaign are received. An advertisement request that specifies a web property, e.g., a web page, is received, and keywords and placement criteria that are satisfied by the web property are identified. Based on the identified keywords and placement criteria, an advertisement to be provided with the web property is selected.

Abstract: Methods, systems and computer program products for classifying incoming data and identifying relevant demographic information from the incoming data. The incoming data may include media content, and the media content may be classified to determine demographic information such as the audience of the media content associated with the media content related to a topic. A content item presented in another medium on the same topic also may be identified. Subsequently, appropriate advertising based on the demographic information to be associated with the content item may be provided.

Abstract: A gene expression signature of colon cancer, microarrays including them and methods of using the colon gene expression signature are provided. The gene expression signature is especially useful for determining the prognosis of a patient diagnosed with colon cancer, such as stage II colon cancer. The gene signature described herein is also useful for determining effectiveness of surgical resection with or without adjuvant chemotherapy, and determining possibility of cancer recurrence in patients with colon cancer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for creating experiment content distribution campaigns (“experiment campaign”) and allocating content in accordance with the experiment campaign. In one aspect, a control campaign or an experiment campaign are selected as an available campaign for providing content in response to receiving a content request. The selection can be a probability constrained selection where the probability with which the experiment campaign is selected is specified as a portion of a total number of requests received during an experiment period for which the experiment campaign is available to provide content. Content is provided in response to the request, where the provided content being content corresponding to the selected campaign.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for creating experiment content distribution campaigns (“experiment campaign”) and allocating content in accordance with the experiment campaign. In one aspect, a control campaign or an experiment campaign are selected as an available campaign for providing content in response to receiving a content request. The selection can be a probability constrained selection where the probability with which the experiment campaign is selected is specified as a portion of a total number of requests received during an experiment period for which the experiment campaign is available to provide content. Content is provided in response to the request, where the provided content being content corresponding to the selected campaign.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for creating experiment content distribution campaigns (“experiment campaign”) and allocating content in accordance with the experiment campaign. In one aspect, a control campaign or an experiment campaign are selected as an available campaign for providing content in response to receiving a content request. The selection can be a probability constrained selection where the probability with which the experiment campaign is selected is specified as a portion of a total number of requests received during an experiment period for which the experiment campaign is available to provide content. Content is provided in response to the request, where the provided content being content corresponding to the selected campaign.

Abstract: Methods, systems and computer program products for classifying incoming data and identifying relevant demographic information from the incoming data. The incoming data may include media content, and the media content may be classified to determine demographic information such as the audience of the media content associated with the media content related to a topic. A content item presented in another medium on the same topic also may be identified. Subsequently, appropriate advertising based on the demographic information to be associated with the content item may be provided.

Abstract: Keywords and placement criteria related to a campaign are received. An advertisement request that specifies a web property, e.g., a web page, is received, and keywords and placement criteria that are satisfied by the web property are identified. Based on the identified keywords and placement criteria, an advertisement to be provided with the web property is selected.

Abstract: Keywords and placement criteria related to a campaign are received. An advertisement request that specifies a web property, e.g., a web page, is received, and keywords and placement criteria that are satisfied by the web property are identified. Based on the identified keywords and placement criteria, an advertisement to be provided with the web property is selected.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for creating experiment content distribution campaigns (“experiment campaign”) and allocating content in accordance with the experiment campaign. In one aspect, a control campaign or an experiment campaign are selected as an available campaign for providing content in response to receiving a content request. The selection can be a probability constrained selection where the probability with which the experiment campaign is selected is specified as a portion of a total number of requests received during an experiment period for which the experiment campaign is available to provide content. Content is provided in response to the request, where the provided content being content corresponding to the selected campaign.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for creating experiment content distribution campaigns (“experiment campaign”) and allocating content in accordance with the experiment campaign. In one aspect, a control campaign or an experiment campaign are selected as an available campaign for providing content in response to receiving a content request. The selection can be a probability constrained selection where the probability with which the experiment campaign is selected is specified as a portion of a total number of requests received during an experiment period for which the experiment campaign is available to provide content. Content is provided in response to the request, where the provided content being content corresponding to the selected campaign.

Abstract: Systems and methods for integrated campaign management interfaces for online advertisements. A campaign management interface facilitates review of advertising placements (e.g., websites) and keywords, as well as provide a detailed analysis of subgroups (e.g., webpages within a website) in a single interface.

Abstract: Keywords and placement criteria related to a campaign are received. An advertisement request that specifies a web property, e.g., a web page, is received, and keywords and placement criteria that are satisfied by the web property are identified. Based on the identified keywords and placement criteria, an advertisement to be provided with the web property is selected.