Patents by Inventor Madelaine DAIANU
Madelaine DAIANU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11650996Abstract: Certain aspects of the present disclosure provide techniques for determining query intent and complexity based on text input. One example method generally includes receiving, from a user device, a text query and preprocessing the text query to generate a query vector. The method further includes providing the query vector to an intent model configured to output a user intent of the text query and providing the query vector to a complexity model configured to output a complexity of the text query. The method further includes receiving the user intent of the text query from the intent model and receiving the complexity of the text query from the complexity model. The method further includes determining, based on the user intent and the complexity of the query, a routing target for the text query and routing the text query to the routing target.Type: GrantFiled: September 26, 2018Date of Patent: May 16, 2023Assignee: INTUIT, INC.Inventors: Madelaine Daianu, Xiao Xiao, Ling Feng Wei, Itai Jeczmien, Andre Luis, Jonathan Lunt, Charles Showley
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Patent number: 11429405Abstract: Method and apparatus for providing personalized self-help experience in online application. A predictive model is trained to learn a relationship between one or more user features and one or more tags using historical user feature data. High-dimensional vectors representing each of a plurality of questions are generated and stored in the lookup table. The trained predictive model outputs tags probabilities from the incoming user data, using the learned relationship. A user high-dimensional vector is formed based on the tags probabilities. Similarity metrics are calculated between the high-dimensional vector for the respective question and the user high dimensional vector. One or more of the most relevant question titles are returned to a client device for presentation to a user.Type: GrantFiled: November 28, 2017Date of Patent: August 30, 2022Assignee: INTUIT, INC.Inventors: Madelaine Daianu, Yao Morin, Ling Feng Wei, Chris Peters, Itai Jeczmien
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Patent number: 11334635Abstract: Method and apparatus for providing a personalized self-support service to a user of an online application coupled with an online community forum. Embodiments include obtaining a plurality of questions from the online community forum and obtaining historical user data. Embodiments further include identifying one or more part-of-speech words in the plurality of questions and generating a high-dimensional vector for each question of the plurality of questions based on a frequency of the one or more part-of-speech words. Embodiments further include identifying one or more user features of the plurality of users based on the historical user data and establishing, based on the historical user data, one or more statistical correlations between user features and part-of-speech words. Embodiments further include training a predictive model based on the one or more statistical correlations. Embodiments further include using the predictive model to predict to provide one or more relevant questions to the user.Type: GrantFiled: April 22, 2020Date of Patent: May 17, 2022Assignee: INTUIT, INC.Inventors: Madelaine Daianu, Yao Morin, Jonathan Lunt, Joseph B. Cessna
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Patent number: 11270235Abstract: Certain aspects of the present disclosure provide techniques for providing a routing system to a user of a product. An example technique includes receiving from a user of a product a query and a personal ID. Based on the personal ID of the user, the user's profile is retrieved which comprises user attribute data, a clickstream history of the user, and a product SKU of the product. Based on the query and the user profile, processed user data is generated. Additionally, agent profile data for each available agent is retrieved, and based on the user attribute data, the processed user data, and the agent profile data of each agent, a predicted quality score is generated for each agent. The agent with the highest predicted quality score is determined, and the user is routed to the agent with the highest predicted quality score.Type: GrantFiled: October 2, 2018Date of Patent: March 8, 2022Assignee: INTUIT INC.Inventors: Madelaine Daianu, Xiao Xiao, Yao Morin, Peter Ouyang
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Publication number: 20200250247Abstract: Method and apparatus for providing a personalized self-support service to a user of an online application coupled with an online community forum. Embodiments include obtaining a plurality of questions from the online community forum and obtaining historical user data. Embodiments further include identifying one or more part-of-speech words in the plurality of questions and generating a high-dimensional vector for each question of the plurality of questions based on a frequency of the one or more part-of-speech words. Embodiments further include identifying one or more user features of the plurality of users based on the historical user data and establishing, based on the historical user data, one or more statistical correlations between user features and part-of-speech words. Embodiments further include training a predictive model based on the one or more statistical correlations. Embodiments further include using the predictive model to predict to provide one or more relevant questions to the user.Type: ApplicationFiled: April 22, 2020Publication date: August 6, 2020Inventors: Madelaine DAIANU, Yao MORIN, Jonathan LUNT, Joseph B. CESSNA
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Patent number: 10664540Abstract: Method and apparatus for providing a personalized self-support service to a user of an online application coupled with an online community forum. Embodiments include obtaining a plurality of questions from the online community forum and obtaining historical user data. Embodiments further include identifying one or more part-of-speech words in the plurality of questions and generating a high-dimensional vector for each question of the plurality of questions based on a frequency of the one or more part-of-speech words. Embodiments further include identifying one or more user features of the plurality of users based on the historical user data and establishing, based on the historical user data, one or more statistical correlations between user features and part-of-speech words. Embodiments further include training a predictive model based on the one or more statistical correlations. Embodiments further include using the predictive model to predict to provide one or more relevant questions to the user.Type: GrantFiled: December 15, 2017Date of Patent: May 26, 2020Assignee: INTUIT INC.Inventors: Madelaine Daianu, Yao Morin, Jonathan Lunt, Joseph B. Cessna
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Publication number: 20190188326Abstract: Method and apparatus for providing a personalized self-support service to a user of an online application coupled with an online community forum. Embodiments include obtaining a plurality of questions from the online community forum and obtaining historical user data. Embodiments further include identifying one or more part-of-speech words in the plurality of questions and generating a high-dimensional vector for each question of the plurality of questions based on a frequency of the one or more part-of-speech words. Embodiments further include identifying one or more user features of the plurality of users based on the historical user data and establishing, based on the historical user data, one or more statistical correlations between user features and part-of-speech words. Embodiments further include training a predictive model based on the one or more statistical correlations. Embodiments further include using the predictive model to predict to provide one or more relevant questions to the user.Type: ApplicationFiled: December 15, 2017Publication date: June 20, 2019Applicant: INTUIT INC.Inventors: Madelaine DAIANU, Yao MORIN, Jonathan LUNT, Joseph B. CESSNA
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Publication number: 20190163500Abstract: Method and apparatus for providing personalized self-help experience in online application. A predictive model is trained to learn a relationship between one or more user features and one or more tags using historical user feature data. High-dimensional vectors representing each of a plurality of questions are generated and stored in the lookup table. The trained predictive model outputs tags probabilities from the incoming user data, using the learned relationship. A user high-dimensional vector is formed based on the tags probabilities. Similarity metrics are calculated between the high-dimensional vector for the respective question and the user high dimensional vector. One or more of the most relevant question titles are returned to a client device for presentation to a user.Type: ApplicationFiled: November 28, 2017Publication date: May 30, 2019Inventors: Madelaine DAIANU, Yao MORIN, Ling Feng WEI, Chris PETERS, Itai JECZMIEN