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Systems and methods for generating recommendations using a corpus of data

A user, paired technology, applied in the field of information networks, that can solve problems such as difficulties

Active Publication Date: 2018-10-23
MASTERCARD INT INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, it is difficult, and in some cases impossible, to provide meaningful business recommendations to a user without that user's preference profile

Method used

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  • Systems and methods for generating recommendations using a corpus of data
  • Systems and methods for generating recommendations using a corpus of data
  • Systems and methods for generating recommendations using a corpus of data

Examples

Experimental program
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Embodiment Construction

[0022] An embodiment of a specially programmed computer module referred to as the ChangeRank module or recommender module 34 is described herein. Depending on the amount of information accessible to or provided to the ChangeRank module, the ChangeRank module selectively employs one or more of a variety of proprietary algorithms. The ChangeRank module uses a matrix of purchases made at multiple merchants to generate links between merchants, assuming that if a buyer buys an item at a first merchant and then buys an item at a second merchant, then by the buyer's preference to associate with the merchant. The ChangeRank module carries this assumption to thousands or millions of transactions, and uses a matrix to connect merchants in transactions to each other. Where little buyer preference data is available, the information captured in the matrix can be used to generate merchant recommendations. The ChangeRank module can also leverage additional information to improve the accura...

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Abstract

A method and system for recommending a merchant are provided. The method includes receiving financial transaction data documenting financial transactions between a plurality of account holders and a plurality of merchants and generating a merchant correspondence matrix that includes the plurality of merchants and a plurality of indicators of interactions associated with pairs of the plurality of merchants. The plurality of indicators of interactions tally financial transactions conducted by the plurality of account holders at both of the merchants in a pair of the plurality of merchants. The method further includes receiving a query for a recommendation of a merchant from an account holder and generating a ranked list of merchants based on a recommender algorithm. The recommender algorithminferring user preferences from attributes of the plurality of merchants that were visited by the cardholder.

Description

[0001] Cross References to Related Applications [0002] This application claims priority and benefit from the filing date of US Provisional Application No. 62 / 266,419, filed December 11, 2015, the entire contents of which are hereby incorporated by reference. technical field [0003] The present disclosure relates generally to information networks, and more particularly to computer systems and computer-based methods for generating recommendations and detecting fraud based on a corpus of data having linked elements. Background technique [0004] At least some known recommender systems use historical data to determine user preferences, which are then applied to new data to discern potential information in the new data of interest to the user. For example, by monitoring financial transaction data from payment cardholders' financial transactions, a cardholder preference pattern can be generated. For example, if the account holder frequently shopped at an outdoor oriented depar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0255G06Q30/0282G06Q30/0625G06Q30/0631G06F7/08
Inventor C·J·莫尔茨W·F·洛·法罗杨鹏
Owner MASTERCARD INT INC