In an example embodiment, a bid of an impression of a piece of content, while dynamically set at impression time, may be based on a base bid that is something of a rough indicator of what the estimated price will be. That base bid then is adjusted dynamically up or down at impression time. This base bid can be determined by dividing the expected number of impressions for a day by a total daily budget. The expected number of impressions may be determined by using the empirical number of impressions from the previous day. As such, in an example embodiment, the prediction of the number of impressions for a day utilizes a corrected version of the empirical number of impressions from the prior day, with the corrected version based on a specialized formula with weights trained by a machine learning algorithm.

Method and server for managing placement of a digital signage content based on metric thresholds. The server stores parameters associated to a plurality of locations. The parameters for each location comprise at least one metric and a corresponding threshold for each metric. The server determines a plurality of candidate locations among the plurality of locations for displaying the content. For each candidate location, the server processes the at least one metric and corresponding threshold of the candidate location to determine if each metric among the at least one metric is within the corresponding threshold. The server identifies one or more target location among the plurality of candidate locations for displaying the content. Each metric among the at least one metric of the one or more target location is within the corresponding threshold. The locations may include digital signage players, geographical areas, displays controlled by a player.

Touchpoint encounters, which represent exposure to messages transmitted through a network to users, include attributes that define universal unique identifiers (UUIDs) for user devices and at least one cross-device user engagement stack. The cross-device user engagement stack consolidates the touchpoint encounters from the user devices with different UUIDs but associated with a single user. A stimulus attribution predictive model outputs attribution parameters to estimate an effectiveness of the messages to elicit positive responses from the users. Media buy execution feed parameters are generated to quantify a set of spending amounts, based on the attribution parameters, so as to specify a cost-effective amount to deliver one of the messages to the users. The media buy execution feed parameters are delivered to programmatic media buying execution platforms that attempt to deliver the messages in accordance with the spending amounts.

The disclosure describes, in part, techniques for performing pre-authorization during a transaction between a merchant a customer. For instance, a payment service may receive, from a merchant device, payment information of a payment instrument that is used to satisfy a cost of a first item. The payment service may then send an authorization request to a card payment network to hold a first amount of funds based on previous purchase activity. The payment service may further send the merchant device information associated with the customer. Next, the payment service may receive an indication that the customer requests to purchase a second item. In response, the payment service may send a request to the card payment network to capture a second amount of funds that is based on the cost of the first item and a cost of the second item. In response, the payment service may receive approval from the card payment network.

An online system receives a content unit identifying a set of content items each associated with a physical location. Different content items of the set include different content associated with different physical locations. When the online system selects content from the content unit for presentation to a user, the online system selects a content item of the set identified by the content unit based on physical locations associated with the content items and characteristics of the user maintained by the online system. For example, the online system selects a content item of the set associated with a physical location having a minimum distance to a location associated with the user by the online system. Rules associate interactions by the user with content from the content unit with an object associated with the content unit or with another object associated with a selected content item of the identified set.

Various embodiments are directed towards a product placement system that enable a media buyer to define a persona, which is a visual representation of a fictitious individual that represents a target audience for a placement campaign, and a placement is a visible display of a product that is placed in a media vehicle. The invention stores the persona, which represents a target audience, ingests data that about placement opportunities, identifying one or more opportunities whose characteristics overlap the characteristics of the target audience, calculates an audience score, identifies one or more opportunities with which the target audience engages using social media, and calculates an engagement score that measures the relative level of engagement with the identified opportunities by the target audience.

An apparatus, method and recording medium for providing an advertisement are disclosed. The apparatus receives, from an advertiser terminal apparatus, registration of a product to be advertised, an allowable budget, and an advertising period, and sets a charging unit price per customer group as to the registered product. The apparatus transmits the charging unit price per customer group to the advertiser terminal apparatus and then receives a selection of a target customer group and a charging unit price from the advertiser terminal apparatus. Also, the apparatus calculates an advertisement exposure frequency, based on the selected charging unit price, the registered allowable budget, and the registered advertising period, and then provides an advertisement for the registered product to a user terminal apparatus of the target customer group, based on the advertisement exposure frequency.

The disclosure provides a method and device for controlling displaying of a media object and a media object display system. The method includes: updating a consumed value of the media object based on a current click on the media object by a user after the user clicks the media object; performing a determination based on the consumed value of the media object and a pre-stored budget of the media object; and generating and sending an offline message for instructing a related system to perform an offline processing on the media object when the consumed value of the media object is determined to reach the budget. The method reduces the overall delay, improves the accuracy in controlling the media object display according to the budget, and decreases the waste of system resources caused by redundant processing.

Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

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.