Intuit, Inc.

Pravin Bhutada

Igor A Podgorny

Irene F Ma

Ling Feng Wei

Benjamin Indyk

Todd Frey Goodyear

Techniques are disclosed for dynamically generating a data set representative of search results in response to a query and using the data set to accurately rank search results in response to a domain specific search query. Upon receiving the search query, features of the query and features of each search result are extracted. A relevance ranking may be assigned to each search result based on a comparison of the features of the query and each search result. The relevance ranking of each search result may be adjusted based on metrics related to user interactions. A data set may be created which includes the query, search results, extracted features, and metrics. The data set may be used to train a machine learning model to accurately determine a ranking of search results in response to a subsequent search query.

Automated search recipe generation

Disclosed methods and systems provide domain-specific incremental search results for search query terms with a customer self-service system for a financial management system, according to one embodiment. Incremental search results are search results that are generated for search query terms, as a user enters the search query terms as part of a search query to a customer self-service system, according to one embodiment. The customer self-service system receives search query terms (e.g., a partial search query) in a search text box, searches customer self-service system content for content that is relevant to the search query terms, and provides incremental search results in a results text box (e.g., drop down menu) that is proximate to (e.g., below) the search text box, according to one embodiment.

Growing community of inventors

Mountain View, CA, United States of America

Pravin Bhutada