Patent application number | Description | Published |
20110213651 | Computer-Implemented Method For Enhancing Targeted Product Sales - A computer-implemented method for providing customer recommendations for a product is disclosed. For each target product for which a customer recommendation is desired, one or more customers likely to purchase the target product are identified using a mathematical model that considers customers' prior purchases of products that are similar or related to the target product. | 09-01-2011 |
20110213661 | Computer-Implemented Method For Enhancing Product Sales - A computer-implemented method for providing product recommendations to customers is disclosed. For each customer for whom a product recommendation is desired, hereinafter “the target customer”, a group of other customers, hereinafter “a group of nearest neighbors” is identified using an algorithm that examines each customer's previous spending across a plurality of different product categories and optionally, one or more demographic attributes, and then selects those customers whose attributes most nearly matches that of the target customer. The products purchased by these nearest neighbors that have not been purchased by the target customer are then ranked using a ranking algorithm that weights such purchased products based on the frequency of their purchase and the number of nearest neighbors purchasing such products. A product recommendation for the target customer is formed by selecting a predetermined number of the highest ranked products purchased by the nearest neighbors. | 09-01-2011 |
20110282731 | Systems and Methods for Optimizing Marketing Investments - Systems and methods for optimizing marketing investments are provided. The system includes a computer system in electronic communication with a business over a first communications link, means for electronically receiving marketing expenditure information from the business using the first communications link. The system executes an optimization algorithm which processes the marketing expenditure information and estimates at least one optimized future marketing expenditure for the business based upon the marketing expenditure information. the system electronically transmits the at least one optimized future marketing expenditure to a user using a second communications link, for subsequent display of the at least one optimized future marketing expenditure to the user. | 11-17-2011 |
20140067461 | System and Method for Predicting Customer Attrition Using Dynamic User Interaction Data - A method, system and non-transitory computer-readable medium for predicting customer attrition are provided. The method can include executing code to load historical data relating to a customer into a database to create a customer history summary file. The method can include executing code to load daily data relating to the customer into a scoring engine. The method can include programmatically processing, via the scoring engine, at least one of the historical data and the daily data to generate an attrition score. The attrition score can indicate a predictive signal of attrition of the customer. | 03-06-2014 |
20140279752 | System and Method for Generating Ultimate Reason Codes for Computer Models - A system and method for generating ultimate reason codes for computer models is provided. The system for generating ultimate reason codes for computer models comprising a computer system for receiving a data set, and an ultimate reason code generation engine stored on the computer system which, when executed by the computer system, causes the computer system to train a base model with a plurality of reason codes, wherein each reason code includes one or more variables, each of which belongs to only one reason code, train a subsequent model using a subset of the plurality of reason codes, determine whether a high score exists in the base model, determine a scored difference if a high score exists in the base model, and designate a reason code having a largest drop of score as an ultimate reason code. | 09-18-2014 |
Patent application number | Description | Published |
20080275814 | Data transaction profile compression - Techniques for compressing data transaction history profiles are disclosed. Such profiles can include a plurality of profile variables with each profile variable comprising a real number that provides a factor for determining whether a proposed data transaction is indicative of fraud. A bit string is generated for each profile variable in the profiles that characterizes a first value plus a second value. The first value is equal to a mantissa for the real number corresponding to the profile variable. The second value is equal to a number of orders of magnitude above a minimum required expressed as multiples of the number of orders magnitude required to represent the plurality of real numbers in each the plurality of transaction history profiles divided by a range of bits. The generated bit string is stored as compressed profile variable within the data transaction history profiles. Related systems, apparatus, methods, and/or articles are also described. | 11-06-2008 |
20080313073 | APPARATUS AND METHOD FOR SIMULATING AN ANALYTIC VALUE CHAIN - A computer-implemented simulator models the entire analytic value chain so that data generation, model fitting and strategy optimization are an integral part of the simulation. Data collection efforts, data mining algorithms, predictive modeling technologies and strategy development methodologies define the analytic value chain of a business operation: data→models→strategies→profit. Inputs to the simulator include consumer data and potential actions to be taken regarding a consumer or account. The invention maps what is known about a consumer or an account and the potential actions that the business can take on that consumer or account to potential future financial performance. After iteratively performing simulations using varying inputs, modeling the effect of the innovation on a profit model, the simulator outputs a prediction of the commercial value of an analytic innovation. | 12-18-2008 |
20080319897 | APPARATUS AND METHOD FOR SIMULATING AN ANALYTIC VALUE CHAIN - A computer-implemented simulator models the entire analytic value chain so that data generation, model fitting and strategy optimization are an integral part of the simulation. Data collection efforts, data mining algorithms, predictive modeling technologies and strategy development methodologies define the analytic value chain of a business operation: data→models→strategies→profit. Inputs to the simulator include consumer data and potential actions to be taken regarding a consumer or account. The invention maps what is known about a consumer or an account and the potential actions that the business can take on that consumer or account to potential future financial performance. After iteratively performing simulations using varying inputs, modeling the effect of the innovation on a profit model, the simulator outputs a prediction of the commercial value of an analytic innovation. | 12-25-2008 |
20090106103 | Click Conversion Score - A Click Conversion Score (CCS) is a tool to provide a new “Ad-Exchange” for connecting Publishers and Advertisers in the Pay-per-Click advertising market. The CCS provides checks and balances into the Ad-Exchange by assessing the quality of traffic each Publisher provides Advertisers using an adaptive, multi-dimensional profiling system. This assessment is directly used in the charges billed the Advertisers. The score is adaptive, and highly dependent on the conversion feedback loop provided by Advertisers. A CCS system scores each Click and each resulting Conversion an Advertiser receives from the Ad-Exchange. In the preferred implementation, the score reflects a ratio of the measured conversion rate for a Publisher's traffic with the “expected” conversion rate based upon Advertisers histories. | 04-23-2009 |
20090234683 | Detecting and Measuring Risk with Predictive Models Using Content Mining - Computer implemented methods and systems of processing transactions to determine the risk of transaction convert high categorical information, such as text data, to low categorical information, such as category or cluster IDs. The text data may be merchant names or other textual content of the transactions, or data related to a consumer, or any other type of entity which engages in the transaction. Content mining techniques are used to provide the conversion from high to low categorical information. In operation, the resulting low categorical information is input, along with other data, into a statistical model. The statistical model provides an output of the level of risk in the transaction. Methods of converting the high categorical information to low categorical clusters, of using such information, and other aspects of the use of such clusters are disclosed. | 09-17-2009 |
20090287932 | Consumer-Driven Secure Sockets Layer Modulator - A software system and method for executing secure commercial transactions online is disclosed. A user's password is received to initiate secure socket layer (SSL) communications with a transaction site on a server. A web session associated with the SSL communications is encrypted by associating a domain name of the transaction site with its SSL public key. Then, the user's password is added to a hypertext markup language (HTML) header of a message within the web session. When added, the password is invisible to a hypothetical man-in-the-middle (MITM) attacker, who cannot read the encrypted message nor mimic the user. The MITM is thus unable to compromise the user's account as the MITM is unable to provide the correct password into any fraudulent message. | 11-19-2009 |