The present invention relates to systems and methods for matching and collecting user data and/or user device data within a current Internet access session of a user for use by user notification systems that generate, distribute and display informational messages over the Internet. The system comprises a source data reception unit configured to receive a source IP address and a source user device port matched with the translated IP address and with the translated port of the operator or the provider from the NAT service, and a data matching unit configured to match user data and/or user device data from all available sources, including but not limited to operator or provider databases, using the received source IP address and the received user device port. Advantageously, the invention provides delivery of informational messages based on collected/matched user data and/or user device data provided according to the present system to the maximum number of real identified users.

Techniques are disclosed utilizing cognitive computing to improve banking experiences. A user's financial account(s) may be monitored to predict when a surplus of funds is unnecessarily present and for how long this will likely be the case. Once this is determined, techniques include automatically drafting funds from the account to another account having a higher interest rate where the funds may accrue more interest. The techniques also include predicting when an overdraft may occur and taking appropriate action when such a prediction is made. Predictions may be based upon different weighted inputs used in accordance with a predictive modeling system, which may attempt to predict for a particular user, location, and retailer, whether the user will spend an anticipated amount in excess of the user's current balance. If so, passive (e.g., notifications) and active (e.g., transferring cover funds) actions may be performed.

This invention relates in general to the field of cell-therapy treatments and more particularly, but not by way of limitation, to systems and methods for administering personalized cell-therapy treatments intravenously. In various embodiments, the system may calculate an aspiration volume needed for centrifugation to achieve a concentrated target threshold dose of 2×10.sup.6 platelets/μL for a particular cell therapy using various factors such as, for example, information about a patient and the efficiency of the concentration process.

An electronic marketplace provides a communication platform between consumer and sellers. Consumers create product wish lists and the wish lists are used as the basis for product advertising from the sellers. In addition, a consumer may invite friends to view the wish list and purchase particular products that are added to the wish list. Because wish lists are used as the basis for advertising, consumers can manage the types of product advertising that they see. Consumers have the ability to turn off individual product advertisements by removing that product from the wish list. Sellers utilize reverse bidding to compete for advertising space with each consumer and friend. One particularly advantageous feature of the embodiment is that wish lists serve as nameless and untraceable proxies for each member by keeping personal information removed from the sellers.

Subject innovations are directed towards a churn model using dynamic state-space modeling to determine churn risks for each active subscriber of a service provider having exhibited a precise sequence of behaviors. The churn model identifies complex behavioral patterns that are consistent with those of subscribers who have churned in a defined past, allowing for a personalized determination of churn risk. The churn model may also use static contextual data to assist in refinement of the churn model through identification of subscriber segments. A churn index is produced that may be used by an automated contextual marketing model to refine decision making for selectively marketing to a subscriber based, in part, on that individual subscriber's churn risk.

Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. One method includes an operation for training a machine-learning program to generate a frequency model that determines a frequency for sending communications to users. The training utilizes training data defined by features related to user information and responses of users to previous communications to the users. The method further includes determining, by the frequency model and based on information about a first user, a first frequency for the first user. The first frequency identifies the number of communications to transmit to the first user per period of time. Further, the method includes operations for receiving a communication request to send one or more communications to the first user and determining send times for the one or more communications to the first user based on the first frequency. The communications are sent at the determined send times.

A method of operating a health tracking system includes utilizing user profile data for a user and health parameter data received from a health tracking device associated with the user to derive parameters relating to the user. The parameters are compared to tags associated with content pages or objects to determine a relevancy or match. Particular ones of a plurality of content pages or objects are selected for delivery to the user based on the comparison.

A computer-implemented method of providing an advertising product includes generating a plurality of segments by grouping similar users among a plurality of users based on a targeting condition of an advertiser; displaying a target advertising product of the advertiser for each segment of the plurality of segments; receiving feedback information according to display of the target advertising product for each segment of the plurality of segments; and adjusting the display of the target advertising product for each segment of the plurality of segments based on an efficiency of the feedback information.

Systems and methods for retrieving, in a first application using one or more processors, a user profile in which the user profile includes a user ID, and the first application includes a first application interface. The systems and methods further include detecting user selection, in the first application interface, of a sync command to a second application, in which the second application includes an executable script associated with the user ID, retrieving the executable script in response to the detecting the user selection of the sync command, integrating the executable script into an HTML interface associated with the user profile, and generating a two-dimensional graphical component in response to the integration of the executable script.

A system and method for optimizing at least one of a promotion, a targeting of the promotion, and a campaign associated with the promotion. Acceptances of the promotion are received following each user's selection of the promotion. Information representing users is received from publisher computing devices. Thereafter, respective match keys are generated that are usable to access information representing transaction accounts of each of the users. The match keys are transmitted computing device(s) having access to information representing transaction accounts. Information representing a selected one account is received. For users who redeemed the promotion, the promotion is associated with the selected one transaction account. Thereafter, as a function of the received selection of the transaction account and/or associating the promotion with a selected one transaction account, the at least one processor optimizes the promotion, a targeting of the promotion to other users, and/or a campaign associated with the promotion.