Systems, methods, and apparatus, including computer program products, for configuring online properties, such as content pages of a website, through an online user interface. A system generates the online user interface and receives, over a network and through the online user interface presented by a client device, a request to insert a restricted third party file into a user's online property. The online user interface is updated to inform the user that inclusion of the third party file in the user's online property is restricted and to provide the user with options for satisfying requirements for including the third party file in the user's online property. In response to detecting a user selection of at least one of the options, the restricted third party file is received from a content repository, and is inserted into the user's online property.

A computer-implemented system to determine and display advertisements to a remote computer. The system may include one or more servers, a data store, a processor, a controller, a predefined matching keyword database, a product listing advertisement (PLA) database, and a matching unit. The matching unit may receive a partial query term inputted into a search access point. The matching unit may match the partial query term to create a list of matching keywords, perform a keyword relevancy process, create a list of top matched keywords, match the top matched keywords with associated listings, perform an associated listing relevancy process, create a list of top associated listings. The matching unit may send the list of top associated listings to display advertisement elements adjacent the search access point upon receipt of the partial query term and prior to completion of entry of the whole query term.

A computer-implemented system to determine and display advertisements to a remote computer. The system may include one or more servers, a data store, a processor, a controller, a predefined matching keyword database, a product listing advertisement (PLA) database, and a matching unit. The matching unit may receive a partial query term inputted into a search access point. The matching unit may match the partial query term to create a list of matching keywords, perform a keyword relevancy process, create a list of top matched keywords, match the top matched keywords with associated listings, perform an associated listing relevancy process, create a list of top associated listings. The matching unit may send the list of top associated listings to display advertisement elements adjacent the search access point upon receipt of the partial query term and prior to completion of entry of the whole query term.

One or more computing devices, systems, and/or methods are provided. Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of minimum bid values to win associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, unshaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using a loss function and/or the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine a shaded bid value for submission based upon one or more first feature parameters, of the feature parameters, associated with the second set of features.

One or more computing devices, systems, and/or methods for generating dynamic content item recommendations are provided. Content item information, extracted from message data, is aggregated to calculate popularity and attributes of content items. The content items are ranked based upon the popularity and attributes to generate a ranked list of content items. Exploration traffic is served utilizing a set of eligible content items selected from the ranked list of content items. An eligible content item is promoted for participation in auctions for serving non-exploration traffic based upon the eligible content item being served a threshold number of times.

A system for training a bidding model comprising: a plurality of tactics stored on at least one database; a plurality of hyperparameters; in response to an available inventory from a publisher relayed through a real time bid server, computing a bid on the available inventory; sending the bid to the real time bid server; receiving an auction result in response to the bid; calculating a plurality of rewards based on the auction result and the tactics; calculate a plurality of q values based on the rewards; calculate a plurality of losses; backpropogating the losses through the bidding model.

A media presentation and distribution system includes a verification server that handles dynamic verification of playback of media assets on a client device. The client device generates support information for a media asset based on an associated asset identifier that is detected during a playback of the media asset on a client device. The client device further encrypts the support information for the media asset based on a client private key associated with the client device and an asset public key for the media asset. The playback of the media asset on the client device is verified based on a verification message, the support information, an encrypted verification message, and the associated asset identifier. A defined asset delivery criteria is satisfied and a deviation or an error with the playback of the media asset is identified based on the verification of the playback of the media asset.

Systems and methods are disclosed for executing an online auction of diverse online advertisements. One method includes receiving inventory information for serving ads on a publisher web page, the inventory information including at least a first ad configuration different from a second ad configuration, each of the first and second ad configurations defining one or both of an ad size and an ad attribute; receiving or generating a plurality of ad bids to serve ads in the first ad configuration and to serve ads in the second ad configuration; and awarding impressions to one or both of the bids to serve ads in the first ad configuration and the second ad configuration, in a proportion based at least in part on a revenue amount associated with the bids to serve ads in the first ad configuration and bids to serve ads in the second ad configuration.

In various example embodiments, a system and method to provide status indictors on an image galley is disclosed. At least one item to be displayed in an image gallery on a client device is identified. Once identified, status information for the item is obtained. Subsequently, gallery rendering and display instructions are generated and transmitted to the client device. The rendering and display instructions include the status information and enables generation of status indicators from the status information for display over the image gallery at the client device. The rendering and display instructions may also include instructions for displaying the image gallery. The status information at the client device may be updated as status information changes.

Disclosed herein is a web user experience improvement for digital magazines. A digital magazine viewing platform is integrated with a digital magazine publishing platform including features that leverage the integration including user interface arrangement based on viewing habits and ripped content that is insertable into draft digital magazine documents. In some embodiments, a machine learning model categorizes magazine styles and present publishing features based on those magazines viewed or subscribed to by a given user.