A service data processing method and apparatus, an electronic device, a computer-readable storage medium and a computer program product are provided. The service data processing method includes acquiring a delivery log corresponding to delivered service data, the delivery log comprising service output states and service conversion states of a service object set; establishing unconverted browsing behavior features of a target service object for unconverted service data according to the service output states and service conversion states of the service object set, the delivered service data comprising the unconverted service data, and the service object set comprising the target service object; determining a ranking factor corresponding to the target service object and the unconverted item; and ranking service data to obtain sequenced service data according to the ranking factor, and selecting and delivering target service data from the sequenced service data according to ranking order to the target service object.

Embodiments disclosed herein select a content message to present to a user on a page of an application based on paralinguistic features of audio input received from the user for the application. The audio input is received via a microphone associated with a computing device. A feature extractor extracts paralinguistic features from the audio input. A predictive model determines a label indicating a measure of receptiveness to product placement (e.g., a predicted marketing outcome) based on the paralinguistic features. A content-selection component selects a content message to present to the user based on the label and based on a profile of the user.

This application relates to apparatus and methods for automatically determining and providing digital recommendations including sponsored items at optimized positions. In some examples, a computing device receives a recommendation request. In response, the computing device obtains a plurality of items based on the user data. The plurality of items includes a plurality of relevant items and a plurality of sponsored items. The computing device then determines a total profit for a combination of the plurality of items by injecting the plurality of promotional items at different position amongst the plurality of relevant items. The plurality of items are presented to the user based at least in part on the total profit and the corresponding combination.

Aspects relate to delivering directed content using frequency capping concepts without third-party cookie technology or other user-identifiable information. Systems and methods are described for determining an estimated number of impressions a user may view or experience based on historical, anonymized data. A covisitation graph is used to estimate the number of times an unidentified user may see an item of directed content, within in a predetermined period of time, based on a single visit to a particular website. The covisitation graph accounts for and also provides for estimated views of the item of directed content on other websites deemed related to the particular website. Therefore the estimated delivery rate for that website can be calculated and used to enforce frequency capping principals.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating models. In some implementations, a system obtains data that comprises promotions and parameters for an opportunity. The system generates transformation spaces based on the promotions and the parameters, wherein each transformation space comprises states, each state is based on the parameters for a particular promotion. The system iterates over a number of iterations. For each transformation space, the system adjusts a state of the transformation space based on actions. The system generates a model by combining each adjusted state. The system generates an entropy for the model. The system compares the entropy to a threshold value, wherein the threshold value corresponds to one of the parameters. In response to determining that the entropy exceeds the threshold value, the system iterates. The system provides the generated model for output.

This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

Systems and methods are presented for managing electronic promotion correspondence sent to consumers. A system may manage electronic promotion correspondence sent on a per-consumer basis. The system may access multiple electronic promotion correspondences generated for a particular consumer, select an electronic promotion correspondence from among the multiple electronic promotion correspondences, and determine to send the electronic promotion correspondence to the consumer according to any number of factors. The system may determine a target time to send the first electronic promotion correspondence to the consumer and selected communication channel to send the electronic promotion correspondence through.

Transaction-enabled systems and methods for identifying and acquiring machine resources on a forward resource market are disclosed. An example system may include a controller having a resource requirement circuit to determine an amount of a resource required for a machine to service a task requirement, a forward resource market circuit to access a forward resource market, a resource market circuit to access a resource market, and a resource distribution circuit to execute a transaction of the resource on at least one of the resource market or the forward resource market in response to the determined amount of the resource required.

Systems and methods for prediction of forward market renewable energy credit from automated agent behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market, and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market, based in part on an automated agent behavior collected from an automated agent behavioral data source. The example system may further include wherein the energy credit comprises a renewable energy credit from a renewable energy system, and a smart contract circuit to sell the renewable energy credit or purchase the renewable energy credit on the forward energy credit market in response to the forecasted forward market price.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for biological production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a biological production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the biological production process in response to the instruction set access request and recording the transaction on the distributed ledger.