Capital One Services, LLC

Piper Alexandra Coble

Paul Cho

Gary B Williams

Lin Ni Lisa Cheng

Chris Demchalk

Ryan M Parker

Matthew Kevin Sullivan

Eric Campbell

Talyne Derderian Walsh

Prarthana Bhattarai

Alexander Bussan

Ralph Lozano

Talha Koc

Natalie Kuhn

Sergey Petrunin

Mukund Manikantan

Exemplary embodiments provide methods, mediums, and systems for performing a reusable, intelligent semantic search across a potentially large number of records. Embodiments may be particularly useful for responding to requests for information from regulatory agencies. In one embodiment, an embedding model is trained to embed queries in an embedding space. When a new query is received, the new query is embedded with the embedding model. A set of documents (e.g., previous responses to regulatory inquiries) may be searched using the embedded query and an indexing model that allows for efficient searches of embedding spaces. A number of results may be returned from the document store, and the results may be ranked by a ranking model. User feedback about the quality of the results may be received, and the ranking model may be retrained based on the feedback.

Methods, mediums, and systems for reusable intelligent search workflows

A system, processes, and a computer-readable storage medium are provided method includes receiving a search query including one or more of a textual phrase, a document, or data including metadata from a user. For example, a processor may execute a theme-generating machine learning algorithm to generate a theme of the search query. Profiles of other users are identified as similar to a profile of the user may be located. A search history of each of the located other users may be located in the collected search history. Content in the searchable content that corresponds to the generated theme of the search query and according to a result of the evaluation of the located search history of each of the other users may be obtained. The obtained content may be scored based on a scoring algorithm and output a set of scored search results to the input/output device.

Techniques and systems for smart natural language processing of search results

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Richmond, VA, United States of America

Piper Alexandra Coble