Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The method of processing an analysis cycle to determine interest merchants may include selecting a seed merchant relevant to a topic interest, identifying consumers that have completed a transaction with the seed merchant to generate a list of identified consumers, determining merchants visited by the identified consumers, scoring all the merchants based on network connectivity, activity, and merchant over-index, updating the seed merchant in response to the list of scored merchants relative to a scoring threshold, and scoring the list of identified consumers based on the number of distinct merchants in transaction and over-indexing. Additionally, the method may further comprise producing a list of updated interest merchants and a list of updated identified consumers, where the updated interest merchants and the updated identified consumers are relevant to the topic interest.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The method of processing an analysis cycle to determine interest merchants may include selecting a seed merchant relevant to a topic interest, identifying consumers that have completed a transaction with the seed merchant to generate a list of identified consumers, determining merchants visited by the identified consumers, scoring all the merchants based on network connectivity, activity, and merchant over-index, updating the seed merchant in response to the list of scored merchants relative to a scoring threshold, and scoring the list of identified consumers based on the number of distinct merchants in transaction and over-indexing. Additionally, the method may further comprise producing a list of updated interest merchants and a list of updated identified consumers, where the updated interest merchants and the updated identified consumers are relevant to the topic interest.

Abstract: The method of processing an analysis cycle to determine interest merchants may include selecting a seed merchant relevant to a topic interest, identifying consumers that have completed a transaction with the seed merchant to generate a list of identified consumers, determining merchants visited by the identified consumers, scoring all the merchants based on network connectivity, activity, and merchant over-index, updating the seed merchant in response to the list of scored merchants relative to a scoring threshold, and scoring the list of identified consumers based on the number of distinct merchants in transaction and over-indexing. Additionally, the method may further comprise producing a list of updated interest merchants and a list of updated identified consumers, where the updated interest merchants and the updated identified consumers are relevant to the topic interest.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: A system and method for a user to test and transfer data from a client's database or network to a host's database or network is disclosed. A user acquires data information from a client and the user uses this information to generate a spreadsheet, and to populate the spreadsheet with assumed values based on the information received from the client. The user requests and receives a test file from the client and uses a developed algorithm to reformat the file so that it is consistent with the host's database configuration. The user determines the consistency between the reformatted file and the host's database by comparing the reformatted file to the previously generated spreadsheet. Any inconsistencies identified alert the user that the file reformatting algorithm needs updating.

Abstract: The present invention facilitates transactions by providing a revolving use account that is associated with a primary account number, wherein the revolving use account is presented to the merchant to initiate a transaction. More particularly, the system involves the process of registering a user's primary account (if not already pre-registered) to use in a transaction system; generating a revolving use account and issuing this number one or more separate users and/or transaction devices, where the user presents this revolving use account to a merchant to complete a transaction. Additionally, the revolving use account may also carry with it certain limitations-on-use conditions, where a transaction is not authorized unless these conditions are met. In generating a revolving use account, the issuer generates a random number and associates this number with the user's primary charge account.

Abstract: Improved systems and methods are provided for identifying financial relationships. In particular, financial relationships may be identified by associating tradelines with one or more people who sign or co-sign on the tradeline. In various embodiments a method is provided comprising, receiving, at a computer-based system for credit data analysis comprising a processor and a tangible, non-transitory memory, credit reporting data relating to a tradeline, parsing, by the computer-based system, the credit reporting data to yield primary debtor data and secondary debtor data, and linking, by the computer-based system, the tradeline with the primary debtor data and the secondary debtor data.

Abstract: An online card-present transaction system facilitates card-present type transactions with a merchant over a public network. A host system is configured to accept authentication data from a user via an authentication device. The host system, after authenticating a user is configured to retrieve the user's account information from a user database system and translate a user account number into a temporary transaction number. The temporary transaction number is then transmitted directly from the host system to the merchant, thereby eliminating the need for the user to send to the merchant over the internet, the user's transaction account number.

Abstract: A system that enables development and execution of predictive models comprises a centralized data management system, a data extraction tool a model validation tool and a model execution tool. In embodiments, a data management system includes a data management server that can be accessed via a web browser that stores data. An extraction tool includes a data filter adapted to filter data based on, for example, a population criteria, a sample size, and a date range criteria. A model validation tool validates the model. A model execution tool allows a user to score the model.

Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Abstract: A consumer accesses a secure area of a transaction account website and provides their login information for retail websites. The transaction account issuer or a third party creates a script that logs in to the retail websites on behalf of the consumer and transmits transaction account information associated with the transaction account. The script sets the transaction account as the default payment method for the retail website. The transaction account information may be evergreen, such that whenever the transaction account information changes, the script updates the retail websites.

Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Abstract: The loyalty system allows a consumer to accumulate general loyalty points from one or more merchants, and convert any desired subset of general points to loyalty dollars associated with a specific merchant. The system stores, for each consumer, the merchant loyalty dollars (or monetary equivalent) by merchant within a remotely-accessible host database or within a smart card database. Upon conducting a purchase at a particular merchant, the consumer may utilize a code key to facilitate access to the consumer's own loyalty dollars for the particular merchant. The loyalty dollars are then applied to the purchase transaction as a discount or rebate. The consumer may also re-load the merchant loyalty dollar accounts.

Abstract: Recurring loan payments (e.g., mortgage payments) through a transaction card account is disclosed. Information is received at a transaction account system from a loan company system corresponding to an application received at the loan company system from a requester for a loan involving automatic debits to a transaction card account. A determination is made as to whether the requestor is eligible for the loan to be associated with a transaction card account. If not, the customer receives a communication of rejection. If eligible, a determination is made whether the transaction account system has stored therein a transaction card account of the requestor. If no, a transaction card account is opened for the requestor and associated with the loan. If yes, the loan payment is associated with the transaction card account bill.

Abstract: A method of creating a single transaction card is disclosed and comprises embossing the single transaction card within a pocket to form embossed characters on a first surface of the single transaction card, filling the pocket with a fill panel to provide a substantially flush surface on a second surface of the single transaction card, wherein a third surface of the fill panel is in uniform, direct contact with an interior of the pocket. Another method is disclosed for machining a face pocket within a single transaction card and disposing a microchip therein. In various embodiments, a single transaction card is comprised of a continuous metal layer, such as, for example, titanium.