Townsend Street Labs, Inc.

Okta, Inc.

Nathaniel Ackerman Rook

Pratyus Patnaik

Jay Srinivasan

Rajhans Samdani

David Colby Kaneda

Suchit Agarwal

Marissa Mary Montgomery

Ankit Goyal

William Stone Potter

Roopak Venkatakrishnan

Systems for processing queries may first determine correspondence between the parameters of the query and a set of existing data entries, a set of previous queries that have been received, or both the existing data entries and the previous queries. If the query parameters do not correspond to the data entries or pervious queries, correspondence is determined between the query parameters and group data that associates at least a subset the query parameters with a particular group that may generate a response to the query. The same group or the generated response may be used when similar queries are received. If the group transmits the query to a different group or if negative user feedback is received, the group data may be modified to indicate the different group or to remove the association with the initial group that received the query.

System for routing of requests

Systems and methods for determining whether a data entry has deprecated may receive a query from a user device and provide a data entry responsive to the query. If user feedback associated with the response indicates that the response resolved the query, confirmation data that associates the data entry with the query parameters is generated. If the user feedback indicates that the response did not resolve the query, existing confirmation data is accessed to determine whether a previous association between the data entry and the parameters of the query was generated. If correspondence between the confirmation data and the query and response is determined, a notification indicating the deprecation of the data entry is generated and the data entry may be suppressed from future output.

System for determining and modifying deprecated data entries

A system dynamically routes queries from an organization for processing. An incoming query is classified using a base model to determine a canonical group. The query is routed based on the canonical group. Responsive to the query, response data is then provided to the user device. Event data about the query, the routing, and the response data is used to train a first model that is used to determine subsequent routing. When a threshold is reached with respect to the available event data, a second model is trained using the event data. Processing of subsequent queries using the second model results in reduced demand for computer resources and reduces response times. The second model may be retrained on a schedule, or upon occurrence of a trigger event, such as an addition or removal of a canonical group.

Dynamic query routing system

A system for processing queries from a user device may first generate an augmented query by determining weight values and synonyms for at least a portion of the parameters in the query, and adding or removing one or more query parameters. Correspondence between the augmented query and an existing set of data entries may be used to determine a subset of data entries that may be responsive to the query. Correspondence may then be determined between the augmented query and previous queries that were addressed by the subset of data entries, to determine a particular previous query having the greatest correspondence with the augmented query. The data entry associated with the particular previous query may be used to generate a response to the query received from the user device.

Request processing system

Growing community of inventors

San Francisco, CA, United States of America

Nathaniel Ackerman Rook