American Express Travel Related Services Company, Inc.

Retail Capital LLC

Danny M Yelle

Iwao Fusillo

Mehmet E Dedeoglu

Zhen Zhao

Prashant Kalia

Karlyn Heiner Crotty

Sourabh Jha

Jack Mansueti

Jerome M Pender

Satyajit Samal

Suby P Philip

A computer server system and method are disclosed for personalization and customization of search results and search result rankings, such as for Internet searching. A representative server system comprises: a network interface to receive a primary query and transmit secondary queries and search results; and one or more processors configured to generate the secondary queries; to extract or transform responses into text variables; to use trained, supervised multi-class neural networks to classify the text variables to form initial classifications or categories and combine the initial classifications or categories to form resulting classifications or categories; to filter and rank the resulting classifications or categories; and to use the filtered and ranked resulting classifications or categories to generate and output the personalized search results and search result rankings, the personalized search results and search result rankings comprising one or more associated classifications or categories corresponding to the primary query.

System and methods for personalization and customization of search results and search result ranking in an internet-based search engine

The present disclosure includes a system, method, and article of manufacture for spend based targeting and measurement. The method may comprise transmitting to a third party system a model and/or a measurement file associating a first party cookie ID with a model, and receiving, from the third party system, an updated model (and/or measurement) file associating a third party cookie ID with web-browsing data. The third party cookie ID may anonymously and uniquely correspond to the first party cookie ID, and the first party cookie ID may be stripped from the updated model (and/or measurement) file to de-identify a customer associated with the first party cookie ID. Moreover, the web-browsing data may be received by the third party system from a second party system.

Spend based digital ad targeting and measurement

Transaction-level data and size of wallet data may be used to identify luxury merchants. In an embodiment, luxury merchants are identified based on their average record of charge (ROC) size in combination with the percentage of high-wallet consumers who transact with the merchants. Customers having a high share of wallet spent at luxury merchants may be identified as luxury consumers.

Identifying luxury merchants and consumers

Growing community of inventors

South Windsor, CT, United States of America

Danny M Yelle