Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving a plurality of advertisement creatives for an advertisement campaign, generating first predefined frequency weights for the plurality of advertisement creatives, and coordinating a display of the plurality of advertisement creatives within the impression slot of the webpages displayed to the online users based on the first predefined frequency weights. The first predefined frequency weights include a weighted frequency that each advertisement creative of the plurality of advertisement creatives should be displayed to the online users. A first advertisement creative of the can be displayed more frequently than a second advertisement creative because the first advertisement comprises a first frequency weight that is higher than a second frequency weight of the second advertisement creative.

Abstract: A computerized method for implementing multi-layered system for heterogeneous pricing decisions by continuously learning market and hotel dynamics comprising: collecting a set of data from various relevant providers, wherein the set of data comprises hotel data, competitor data, market data, and market pricing; implement extract, transform, load (ETL) operations on the set of data, wherein the ETL comprises the ingestion of the multi-textured data into Big data storage for use in an on-demand basis; implementing one or more specified data cleaning operations on the data-set(s).

Abstract: In one aspect, a computerized method for implementing multi-layered market forecast framework for hotel revenue management by continuously learning market dynamics includes the step of collecting a set of data from various relevant providers, wherein the set of data comprises market data, events information relevant to a market, and market pricing. The method includes the step of implementing an extract, transform, load (ETL) operations on the set of data, wherein the ETL comprises the ingestion of the multi-textured data into big data storage for use on demand basis. The method includes the step of implementing one or more specified data cleaning operations on the set of data. The method includes the step of implementing one or more specified feature engineering operations on the cleaned data. The method includes the step of generating an Average daily rate (ADR) training data set. The method includes the step of generating an occupancy training data set.

Abstract: In one aspect, a computerized method for implementing a multi-layered system for heterogeneous pricing decisions by continuously learning market and hotel dynamics includes the step of collecting a set of data from relevant providers. The set of data from relevant providers comprises hotel data, competitor data, market data, and market pricing data. The method includes the step of implementing an ETL operation on the set of data from relevant providers. The ETL operation comprises an ingestion of the multi-textured data into a big data storage for use on an on-demand basis. The method includes the step of implementing one or more specified data cleaning operations on the dataset to generate a cleaned data set. The method includes the step of implementing one or more specified feature engineering operations on the cleaned data set. The method includes the step of generating an evaluation set and prediction set. The method includes the step of generating training and test dataset from the evaluation set.

Abstract: A computerized method for implementing multi-layered system for heterogeneous pricing decisions by continuously learning market and hotel dynamics comprising: collecting a set of data from various relevant providers, wherein the set of data comprises hotel data, competitor data, market data, and market pricing; implement extract, transform, load (ETL) operations on the set of data, wherein the ETL comprises the ingestion of the multi-textured data into Big data storage for use in an on-demand basis; implementing one or more specified data cleaning operations on the data-set(s).

Abstract: A transaction terminal includes a plurality of disparate application services that process within a common/shared platform on the transaction terminal. Each disparate application service may include its own unique biometric provider for providing biometric registration and recognition services to customers at the transaction terminal. When a particular application service is launched for execution on the transaction terminal, a biometric integration manager identifies an appropriate biometric provider for that application service and interacts with that biometric provider and the launched application service to facilitate biometric registration or biometric recognition of a customer transacting at the transaction terminal.

Abstract: A system for building a targeted audience for a present online advertising campaign is disclosed. The system comprises a database for storing data related to each of the plurality of products with each product associated with a previous online advertising campaign and a processor in communication with the database and configured to execute computer-readable instructions causing the processor to utilize the data to identify at least one previous online advertising campaign as being similar to the present online advertising campaign, learn from the identified previous online advertising campaign(s) to predict a probability of conversion of each of a plurality of customers when exposed to an impression of the present online advertising campaign, and build the targeted audience for the present online advertising campaign based on the predicted probability of conversion. A method for building a targeted audience for a present online advertising campaign is also disclosed.

Abstract: A transaction terminal includes a plurality of disparate application services that process within a common/shared platform on the transaction terminal. Each disparate application service may include its own unique biometric provider for providing biometric registration and recognition services to customers at the transaction terminal. When a particular application service is launched for execution on the transaction terminal, a biometric integration manager identifies an appropriate biometric provider for that application service and interacts with that biometric provider and the launched application service to facilitate biometric registration or biometric recognition of a customer transacting at the transaction terminal.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving a plurality of advertisement creatives for an advertisement campaign, generating first predefined frequency weights for the plurality of advertisement creatives, and coordinating a display of the plurality of advertisement creatives within the impression slot of the webpages displayed to the online users based on the first predefined frequency weights. The first predefined frequency weights include a weighted frequency that each advertisement creative of the plurality of advertisement creatives should be displayed to the online users. A first advertisement creative of the can be displayed more frequently than a second advertisement creative because the first advertisement comprises a first frequency weight that is higher than a second frequency weight of the second advertisement creative.

Abstract: A method and a web server store a plurality of web page elements that may be rendered on a browser of a user computing device to display a web page. The web page includes a first ad space for displaying an ad that is visible to the user and a second ad space for displaying an ad that is not visible to the user. A first ad request for the first ad space and a second ad request for the second ad space are received and associated with a first ad campaign and a second ad campaign, respectively. A first ad from the first ad campaign is provided to the user computing device so that the first ad is visible to the user, and a second ad from the second ad campaign is provided to the user computing device so that the second ad is not visible to the user.

Abstract: A system for building a targeted audience for a present online advertising campaign is disclosed. The system comprises a database for storing data related to each of the plurality of products with each product associated with a previous online advertising campaign and a processor in communication with the database and configured to execute computer-readable instructions causing the processor to utilize the data to identify at least one previous online advertising campaign as being similar to the present online advertising campaign, learn from the identified previous online advertising campaign(s) to predict a probability of conversion of each of a plurality of customers when exposed to an impression of the present online advertising campaign, and build the targeted audience for the present online advertising campaign based on the predicted probability of conversion. A method for building a targeted audience for a present online advertising campaign is also disclosed.