Q2 Software, Inc.

Jesse Lee Barbour

Adam David Anderson

Benjamin Ray Webster

Stephen John Zabel

Kristi Lynn Voll

Embodiments of systems and methods for information retrieval are disclosed. Embodiments of such systems and methods may perform information retrieval based on a language model that is used to generate a single vector for the search terms of a query. Similarly, a single vector representation of each of the data records to be searched is obtained and the single vector representing the search terms of the query compared to the single vector of each data record to determine a similarity metric. The resulting similarity metrics associated with each of the data records can be used to rank, present or return one or more data records.

System and method for information retrieval for noisy data

Embodiments of a system as described herein may receive financial institution product information from a plurality of financial institutions distributed across a computing network. The system may also receive data from the plurality of financial institutions distributed across the computer network and create or update an ontology. A relevance score may be generated for a set of financial institution products which may, in conjunction with a campaign definition provided by a financial institution administrator, be used to associate users with a list of campaigns which may be stored as campaign data. An online banking application at a user device may request campaign data for a user. In response, the system may return campaign data for the user to the online banking application. Using the campaign data, the online banking application may select one or more products to recommend to the user and display content for the selected products on the user device.

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West Lake Hills, TX, United States of America

Jesse Lee Barbour