Patents by Inventor Zhenrui Wang
Zhenrui Wang 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: 11954108Abstract: This application relates to apparatus and methods for applying trained machine learning models to determine an item's relevance to a search query. In some examples, a query and data identifying a plurality of items are received. Item attributes for each of the plurality of items are obtained, and features are generated based on the item attributes. Further, a score is generated for each item by applying a trained machine learning model to the corresponding features and the query. Matching attributes are determined for each of the plurality of items based on the corresponding item attributes and the query, and the score of each of the plurality of items is adjusted based on the matching attributes. Further, the ranking data is generated based on the adjusted score of each of the plurality of items. The ranking data may be transmitted to a web server for display of the items.Type: GrantFiled: January 30, 2021Date of Patent: April 9, 2024Assignee: Walmart Apollo, LLCInventors: Zhenrui Wang, Siyue Gao, Ajit Varghese Puthenputhussery, Manasa Swamy, Sachin Adlakha
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Publication number: 20230244676Abstract: A systems including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving in-session user activity information, the in-session user activity information comprising a user search query from a user and a ranked list of products to be displayed to the user based on the user search query, and a product of the products being part of a boost category; determining a respective content model prediction score for each of the products of the ranked list of the products; determining a respective discounted cumulative gain (DCG) score for each of the products of the ranked list of the products; analyzing the product that is part of the boost category to determine if the product is to be repositioned within the ranked list of the products based on the respective DCG score for each of the products; and in response to determining that the product that is part of the boost category is to be repositioneType: ApplicationFiled: January 31, 2022Publication date: August 3, 2023Applicant: Walmart Apollo, LLCInventors: Robert Wayne Macy, III, Nimit Kamlesh Desai, Jiahao Zhang, Shubham Vishwanath Barhate, Zhenrui Wang, Rini Vipinchandra Joshi, Nitin Shailesh Baliga, Rajyashree Mukherjee
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Methods and apparatus for automatically providing a ranking of items in response to a search request
Patent number: 11494391Abstract: This application relates to apparatus and methods for ranking search results. In some examples, a computing device receives item data identifying items for a search query provided by a user. The computing determines, for each item, a first value based on a relevance of the item to the search query. The computing device also determines user engagement data for the user, where the user engagement data identifies engagements by the user on a webpage. The computing device determines, for each item, a second value based on the user engagement data. In some examples, the computing device determines the first values and second values by executing one or more machine learning models. The computing device further determines a ranking of the plurality of items based on the first values and the second values. The computing may transmit the ranking of the plurality of items, such as to a web server.Type: GrantFiled: January 30, 2020Date of Patent: November 8, 2022Assignee: Walmart Apollo, LLCInventors: Ajit Varghese Puthenputhussery, Sachin Adlakha, Alessandro Magnani, Nikita Maple Sudan, Sapeksha Virinchi Vemulapati, Zhenrui Wang, Isha Ghai -
Publication number: 20220351239Abstract: This application relates to apparatus and methods for training machine learning models, and applying trained machine learning models to generate item ranking values. In some examples, user session data for multiple users is received. Based on the user session data, user engagement data is generated characterizing engagements of corresponding items for a search query. Further, a number of examines is determined for each of the corresponding items. The user engagement data for each item is normalized based on the corresponding number of examines, and ranking data is generated based on the normalized user engagement data. The ranking data characterizes a ranking of at least a subset of the items. Further, a machine learning model is trained based on the ranking data. In some examples, the trained machine learning model is applied to a query to generate a ranking of items, and the ranking data is transmitted to a web server.Type: ApplicationFiled: April 30, 2021Publication date: November 3, 2022Inventors: Rashad Mohamed Tawfik Rashad Eletreby, Cun Mu, Zhenrui Wang, Rajyashree Mukherjee
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Publication number: 20220245162Abstract: This application relates to apparatus and methods for applying trained machine learning models to determine an item's relevance to a search query. In some examples, a query and data identifying a plurality of items are received. Item attributes for each of the plurality of items are obtained, and features are generated based on the item attributes. Further, a score is generated for each item by applying a trained machine learning model to the corresponding features and the query. Matching attributes are determined for each of the plurality of items based on the corresponding item attributes and the query, and the score of each of the plurality of items is adjusted based on the matching attributes. Further, the ranking data is generated based on the adjusted score of each of the plurality of items. The ranking data may be transmitted to a web server for display of the items.Type: ApplicationFiled: January 30, 2021Publication date: August 4, 2022Inventors: Zhenrui Wang, Siyue Gao, Ajit Varghese Puthenputhussery, Manasa Swamy, Sachin Adlakha
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Patent number: 11232163Abstract: An e-commerce search ranking system is provided and generally includes a server (e.g., application server), a database, and a customer computing device. The server can obtain user search query listings associated with a search term of users' search sessions to determine user engagement of the items. The server also determines that the items, and any items appearing before the items in each user search query listing, were examined. The server can then aggregate the information in the database. The server can also determine additional search terms related to the search term of the users' search session, and obtain user search query listings for the additional search terms. The server can determine user engagement for items appearing in those user search query listings, and can aggregate that information in the database as well. The aggregated information can be used to determine a final item ranking for a search request inquiry.Type: GrantFiled: August 23, 2018Date of Patent: January 25, 2022Assignee: Walmart Apollo, LLCInventors: Zhenrui Wang, Onur Gungor, Sreenivasa Prasad Sista
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Patent number: 11127064Abstract: An e-commerce search ranking system is provided and generally includes a server (e.g., application server), a database, and a customer computing device. The server can obtain user search query listings associated with a search term of users' search sessions to determine user engagement of the items. The server also determines that the items, and any items appearing before the items in each user search query listing, were examined. The server can then aggregate the information in the database. The server can also determine additional search terms related to the search term of the users' search session, and obtain user search query listings for the additional search terms. The server can determine user engagement for items appearing in those user search query listings, and can aggregate that information in the database as well. The aggregated information can be used to determine a final item ranking for a search request inquiry.Type: GrantFiled: August 23, 2018Date of Patent: September 21, 2021Assignee: Walmart Apollo, LLCInventors: Zhenrui Wang, Onur Gungor, Sreenivasa Prasad Sista
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METHODS AND APPARATUS FOR AUTOMATICALLY PROVIDING A RANKING OF ITEMS IN RESPONSE TO A SEARCH REQUEST
Publication number: 20210240722Abstract: This application relates to apparatus and methods for ranking search results. In some examples, a computing device receives item data identifying items for a search query provided by a user. The computing determines, for each item, a first value based on a relevance of the item to the search query. The computing device also determines user engagement data for the user, where the user engagement data identifies engagements by the user on a webpage. The computing device determines, for each item, a second value based on the user engagement data. In some examples, the computing device determines the first values and second values by executing one or more machine learning models. The computing device further determines a ranking of the plurality of items based on the first values and the second values. The computing may transmit the ranking of the plurality of items, such as to a web server.Type: ApplicationFiled: January 30, 2020Publication date: August 5, 2021Inventors: Ajit Varghese PUTHENPUTHUSSERY, Sachin ADLAKHA, Alessandro MAGNANI, Nikita Maple SUDAN, Sapeksha Virinchi VEMULAPATI, Zhenrui WANG, Isha GHAI -
Publication number: 20200065421Abstract: An e-commerce search ranking system is provided and generally includes a server (e.g., application server), a database, and a customer computing device. The server can obtain user search query listings associated with a search term of users' search sessions to determine user engagement of the items. The server also determines that the items, and any items appearing before the items in each user search query listing, were examined. The server can then aggregate the information in the database. The server can also determine additional search terms related to the search term of the users' search session, and obtain user search query listings for the additional search terms. The server can determine user engagement for items appearing in those user search query listings, and can aggregate that information in the database as well. The aggregated information can be used to determine a final item ranking for a search request inquiry.Type: ApplicationFiled: August 23, 2018Publication date: February 27, 2020Inventors: Zhenrui Wang, Onur Gungor, Sreenivasa Prasad Sista
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Publication number: 20200065877Abstract: An e-commerce search ranking system is provided and generally includes a server (e.g., application server), a database, and a customer computing device. The server can obtain user search query listings associated with a search term of users' search sessions to determine user engagement of the items. The server also determines that the items, and any items appearing before the items in each user search query listing, were examined. The server can then aggregate the information in the database. The server can also determine additional search terms related to the search term of the users' search session, and obtain user search query listings for the additional search terms. The server can determine user engagement for items appearing in those user search query listings, and can aggregate that information in the database as well. The aggregated information can be used to determine a final item ranking for a search request inquiry.Type: ApplicationFiled: August 23, 2018Publication date: February 27, 2020Inventors: Zhenrui Wang, Onur Gungor, Sreenivasa Prasad Sista