Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: Systems and methods of the present disclosure are directed generally to facilitating content selection by identifying low impact criteria. In some implementations, a data processing system accesses a data structure storing, in a memory element, a plurality of impression records. Each impression record can include one or more features and an indication of user interest corresponding to a content impression. The data processing system can identify a combination feature based on at least two of the features. The data processing system can execute a statistical model (e.g., logistic regression model) using the impression records and the combination feature. The data processing system can determine a weight for the combination feature. Responsive to the weight being less than a threshold, the data processing system can transmit an indication to disable the combination feature for selecting content associated with the plurality of impression records.

Abstract: Conducting a group buying advertising campaign. Receiving a specification for a group-buying offer. Creating a candidate ad campaign based on the received specification. The candidate ad campaign includes at least one campaign feature. The candidate ad is characterized by at least one generalized feature. Determining the expected effectiveness of the candidate ad campaign. For an expected effectiveness less than the aggregate effectiveness of a set of at least one previously run ad campaigns having a generalized feature in common with the candidate campaign, editing the candidate ad campaign to incorporate at least one feature of the set of at least one previously run ad campaigns. Running the edited ad campaign in an ad display network. Collecting effectiveness data for each run ad campaign.

Abstract: Systems and methods of the present disclosure are directed generally to facilitating content selection by identifying low impact criteria. In some implementations, a data processing system accesses a data structure storing, in a memory element, a plurality of impression records. Each impression record can include one or more features and an indication of user interest corresponding to a content impression. The data processing system can identify a combination feature based on at least two of the features. The data processing system can execute a statistical model (e.g., logistic regression model) using the impression records and the combination feature. The data processing system can determine a weight for the combination feature. Responsive to the weight being less than a threshold, the data processing system can transmit an indication to disable the combination feature for selecting content associated with the plurality of impression records.

Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.

Abstract: Systems and methods of identifying user propensity to access a web page via a communication network are provided. A data processing system can receive a request for subject matter to provide for display with the web page. A referring URL identifying a source web page can be identified from the request. Based on the source web page, a score can be assigned to the request. A quality metric can indicate a likelihood that a user associated with the request will access content provided for display with the web page, and this quality metric can be adjusted based on the score.

Abstract: Implementations described herein relate to filtering content items from a set of eligible content items based on a device filter. A mobile application may be incompatible with one or more devices based on an operating system, an operating system version, hardware configurations of the one or more client devices, etc. To remove incompatible content items, a device filter can be generated by comparing a set of required features for the corresponding mobile application with data from a data structure identifying several known mobile devices and associated sets of features. The set of required features for the mobile application may include a minimum operating system version, one or more eligible countries, and/or one or more features of a mobile device. The device filter can include a set of identifiers for the known mobile devices that are incompatible with the mobile application based on the comparison.

Abstract: Systems and methods of providing information via a computer network are provided. An indication of a transaction with a first merchant can be received via a computer network by a data processing system. The data processing system can create an index representing an inventory of a second merchant which is independent of the first merchant, and can identify a product from the inventory of the second merchant using the index and data associated with the indication of the transaction. The data processing system can provide content corresponding to the product for display at a computing device prior to completion of the transaction.

Abstract: Apparatus and method for managing a user's desire to see user selected content along with a publisher's content on a web page. The apparatus and method manage the displaying of the user selected content on the web pages along with managing revenue and payments for the display of the user selected content.