Patents by Inventor Jinyi Yao
Jinyi Yao 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: 11562328Abstract: Systems, methods, and non-transitory computer-readable media can determine a user embedding for a user of a content provider based on one or more machine learning models. A job embedding for a job posting published through the content provider can be determined based on one or more machine learning models. A determination can be made of a threshold level of similarity between the user embedding and the job embedding. The job posting can be provided as a recommendation to the user through the content provider.Type: GrantFiled: December 26, 2018Date of Patent: January 24, 2023Assignee: Meta Platforms, Inc.Inventors: Wenzhe Jiang, Jinyi Yao
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Patent number: 11321411Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one real-world scene being captured by one or more cameras of the computing device while being operated by a user, wherein the at least one real-world scene corresponds to a geographic location associated with an entity. At least one real-world surface can be determined based at least in part on the captured real-world scene. Content related to the entity can be obtained from a content provider. The content related to the entity can be presented on the at least one real-world surface through an augmented reality interface.Type: GrantFiled: December 28, 2018Date of Patent: May 3, 2022Assignee: Meta Platforms, Inc.Inventors: Wentao Luan, Jinyi Yao
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Patent number: 11163843Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one scenario that applies to a user of a social networking system based at least in part on features associated with the user. One or more groups of content recommendations associated with the at least one scenario can be determined. Each group of content recommendations can include a set of content items that relate to the at least one scenario. The one or more groups of content recommendations can be provided to the user as recommendations.Type: GrantFiled: December 28, 2018Date of Patent: November 2, 2021Assignee: Facebook, Inc.Inventors: Meiying Li, Jinyi Yao, Bradley Ray Green
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Patent number: 11151209Abstract: A social networking system recommends objects, such as pages, of the social networking system to users of the social networking system based on the location of the user. The social networking system obtains location information identifying the location of the user. Based on the location of the user, the social networking system identifies levels of geographical partitions encompassing the location of the user. For each level of geographical partitions, the social networking system accesses relevant objects of the social networking system with connections to users located within the level of geographical partitions. The social networking system may have determined a term frequency-inverse document frequency (tf-idf) value for each relevant object. Based on the number of connections and the tf-idf value associated with each relevant object, the social networking system merges the relevant objects accessed at each level into a set of relevant objects to recommend to the user.Type: GrantFiled: October 18, 2019Date of Patent: October 19, 2021Assignee: Facebook, Inc.Inventors: Bradley Ray Green, James Wah Hou Wong, Jinyi Yao
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Patent number: 11106859Abstract: Systems, methods, and non-transitory computer readable media are configured to generate multiple channel embeddings for a page of a social networking system. The multiple channel embeddings can be mapped to a shared embedding space. A page embedding for the page of the social networking system can then be generated.Type: GrantFiled: June 26, 2018Date of Patent: August 31, 2021Assignee: Facebook, Inc.Inventors: Yixin Li, Wenzhe Jiang, Jing He, Jinyi Yao
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Patent number: 10915589Abstract: An online system maintains a web page associated with one or more page administrators. The online system trains a machine learning model to determine a likelihood of a page administrator account accepting a request for the online system to present content about the web page to other users of the online system. The model uses features extracted from data about the page administrator accounts on the online system, the page administrator interactions with the online system, and the web page. The online system selects one or more page administrator accounts and sends them requests based on the determined likelihood scores. The online system delivers content associated with the web page to users of the online system based on a response to the request.Type: GrantFiled: March 29, 2019Date of Patent: February 9, 2021Assignee: Facebook, Inc.Inventors: Hannah Marie Hemmaplardh, Jinyi Yao, Ahmed Magdy Hamed Mohamed
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Patent number: 10803130Abstract: Systems, methods, and non-transitory computer-readable media can determine a profile model for a page that is accessible through the social networking system, the profile model describing one or more modal characteristics of users of the social networking system that have fanned the page. A determination can be made that the page should be recommended to a first user of the social networking system based at least in part on the profile model. At least one page recommendation that references the page can be provided to the first user.Type: GrantFiled: December 28, 2015Date of Patent: October 13, 2020Assignee: Facebook, Inc.Inventors: Bradley Ray Green, Betty Yee Man Cheng, Jinyi Yao
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Patent number: 10742756Abstract: The social networking system monitors implicit interactions between a user and objects of the social networking system with which the user has not established a connection. Based on the implicit interactions between the user and an object, the social networking system identifies a soft connection between the user and the object. The social networking system may then identify soft connections to include in a candidate list of soft connections to recommend to the user. The social networking system may also extract signals from the set of candidate list of soft connections, and may use the extracted signals to rank the soft connections in the list of candidate soft connections. The social networking system may then recommend soft connections to the user based on the rank associated with the soft connections in the candidate list of soft connections.Type: GrantFiled: July 21, 2017Date of Patent: August 11, 2020Assignee: Facebook, Inc.Inventors: James Wah Hou Wong, Ashish Kumar Yadav, Jinyi Yao, Bradley Ray Green
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Patent number: 10614143Abstract: Systems, methods, and non-transitory computer-readable media can receive page information associated with a page and user information associated with a user associated with the page. Confidence scores are calculated for a plurality of categories based on the page information and the user information, wherein a confidence score for a category is indicative of a likelihood that the category is relevant to the page. One or more categories of the plurality of categories are selected based on the confidence scores. The one or more categories are presented to the user as category recommendations.Type: GrantFiled: August 28, 2017Date of Patent: April 7, 2020Assignee: Facebook, Inc.Inventors: Wenzhe Jiang, Jinyi Yao
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Patent number: 10482143Abstract: A social networking system recommends objects, such as pages, of the social networking system to users of the social networking system based on the location of the user. The social networking system obtains location information identifying the location of the user. Based on the location of the user, the social networking system identifies levels of geographical partitions encompassing the location of the user. For each level of geographical partitions, the social networking system accesses relevant objects of the social networking system with connections to users located within the level of geographical partitions. The social networking system may have determined a term frequency-inverse document frequency (tf-idf) value for each relevant object. Based on the number of connections and the tf-idf value associated with each relevant object, the social networking system merges the relevant objects accessed at each level into a set of relevant objects to recommend to the user.Type: GrantFiled: January 10, 2017Date of Patent: November 19, 2019Assignee: Facebook, Inc.Inventors: Bradley Ray Green, James Wah Hou Wong, Jinyi Yao
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Patent number: 10339611Abstract: Systems, methods, and non-transitory computer readable media configured to determine seed content items based on interests of a user. Candidate content items can be determined for potential presentation to the user based at least in part on the seed content items. Features associated with the candidate content items can be processed to generate probabilities that the user will perform interactions with the candidate content items. Values can be assigned to the candidate content items based on the probabilities that the user will perform interactions with the candidate content items and the importance of the interactions. The values can be provided as bid values to an auction system to determine constraints regarding presentation of the candidate content items. Presentation of the candidate content items can be optimized.Type: GrantFiled: December 9, 2014Date of Patent: July 2, 2019Assignee: Facebook, Inc.Inventors: Jinyi Yao, James Wah Hou Wong, Jason Brewer, Bradley Ray Green
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Patent number: 10296548Abstract: An online system maintains a web page associated with one or more page administrators. The online system trains a machine learning model to determine a likelihood of a page administrator account accepting a request for the online system to present content about the web page to other users of the online system. The model uses features extracted from data about the page administrator accounts on the online system, the page administrator interactions with the online system, and the web page. The online system selects one or more page administrator accounts and sends them requests based on the determined likelihood scores. The online system delivers content associated with the web page to users of the online system based on a response to the request.Type: GrantFiled: November 30, 2016Date of Patent: May 21, 2019Assignee: Facebook, Inc.Inventors: Hannah Marie Hemmaplardh, Jinyi Yao, Ahmed Magdy Hamed Mohamed
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Publication number: 20190065606Abstract: Systems, methods, and non-transitory computer-readable media can receive page information associated with a page and user information associated with a user associated with the page. Confidence scores are calculated for a plurality of categories based on the page information and the user information, wherein a confidence score for a category is indicative of a likelihood that the category is relevant to the page. One or more categories of the plurality of categories are selected based on the confidence scores. The one or more categories are presented to the user as category recommendations.Type: ApplicationFiled: August 28, 2017Publication date: February 28, 2019Inventors: Wenzhe Jiang, Jinyi Yao
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Publication number: 20190034973Abstract: Systems, methods, and non-transitory computer-readable media can identify a target page and an advertising campaign comprising one or more advertisements associated with the target page. One or more users are identified for inclusion in a base audience based on page information associated with the target page. One or more users are identified for inclusion in an expanded audience based on expanded audience criteria. The advertising campaign is presented to a smart audience comprising the base audience and the expanded audience.Type: ApplicationFiled: July 26, 2017Publication date: January 31, 2019Inventors: Jinyi Yao, Martin Schatz, Arash Ashari, Vijay Rangarajan, Liushan Yang, Iris Yui Chang
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Publication number: 20190005547Abstract: Disclosed is a method for supporting online services in providing content items to users of an online system. A request for loading a webpage of an online system is received from a client device. A plurality of content items eligible for being presented to the user is received. For each of the received content items, a trained model is identified based on characteristics of the content item, and a score is determined using the identified trained model and based on characteristics of the user. One or more content items is selected based on the determined scores. The selected one or more content items are sent to the client device for presentation to the user.Type: ApplicationFiled: November 3, 2017Publication date: January 3, 2019Inventors: Li Tan, Honglu He, Kiranjit Singh Sidhu, David Harry Garcia, Jinchong Zhou, Zhi Zhong, Jinyi Yao, David Shein, Nikila Srinivasan Sarang, Yating Ma, Rui Shao, Han Chen, Hao Wang, Ning Wang
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Publication number: 20180225718Abstract: A online system generates and displays page promotion units to viewing users of the online system. The page promotion unit provides content to the viewing user to promote advertisement of a page that the viewing user administers or advertises for. The page promotion unit may be dynamically generated based on content of the page that the viewing user administers. The page promotion unit may also include suggested operational parameters for a campaign to display the content, which may include budget or suggested targeting criteria, as well as estimated reach for the campaign. The page promotion unit also provides an interface for the viewing user to promote the page and direct the viewing user to an interface for initiating an advertising campaign for the page, which may be prepopulated with content from the page promotion unit.Type: ApplicationFiled: February 8, 2017Publication date: August 9, 2018Inventors: Ahmed Magdy Hamed Mohamed, Jinyi Yao
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Publication number: 20180150560Abstract: An online system maintains a web page associated with one or more page administrators. The online system trains a machine learning model to determine a likelihood of a page administrator account accepting a request for the online system to present content about the web page to other users of the online system. The model uses features extracted from data about the page administrator accounts on the online system, the page administrator interactions with the online system, and the web page. The online system selects one or more page administrator accounts and sends them requests based on the determined likelihood scores. The online system delivers content associated with the web page to users of the online system based on a response to the request.Type: ApplicationFiled: November 30, 2016Publication date: May 31, 2018Inventors: Hannah Marie Hemmaplardh, Jinyi Yao, Ahmed Magdy Hamed Mohamed
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Publication number: 20180096390Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one content item to be promoted to one or more users. One or more tokens that describe the content item are determined. A set of interests are determined based at least in part on the one or more tokens using a trained machine learning model. At least one first interest from the set as a suggestion is provided for promoting the content item to users, wherein promoting the content item using the first interest causes the content item to be presented to users that are associated with the first interest.Type: ApplicationFiled: September 30, 2016Publication date: April 5, 2018Inventors: Hannah Marie Hemmaplardh, James Wah Hou Wong, Jinyi Yao
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Publication number: 20170324820Abstract: The social networking system monitors implicit interactions between a user and objects of the social networking system with which the user has not established a connection. Based on the implicit interactions between the user and an object, the social networking system identifies a soft connection between the user and the object. The social networking system may then identify soft connections to include in a candidate list of soft connections to recommend to the user. The social networking system may also extract signals from the set of candidate list of soft connections, and may use the extracted signals to rank the soft connections in the list of candidate soft connections. The social networking system may then recommend soft connections to the user based on the rank associated with the soft connections in the candidate list of soft connections.Type: ApplicationFiled: July 21, 2017Publication date: November 9, 2017Inventors: James Wah Hou Wong, Ashish Kumar Yadav, Jinyi Yao, Bradley Ray Green
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Patent number: 9729648Abstract: The social networking system monitors implicit interactions between a user and objects of the social networking system with which the user has not established a connection. Based on the implicit interactions between the user and an object, the social networking system identifies a soft connection between the user and the object. The social networking system may then identify soft connections to include in a candidate list of soft connections to recommend to the user. The social networking system may also extract signals from the set of candidate list of soft connections, and may use the extracted signals to rank the soft connections in the list of candidate soft connections. The social networking system may then recommend soft connections to the user based on the rank associated with the soft connections in the candidate list of soft connections.Type: GrantFiled: August 6, 2014Date of Patent: August 8, 2017Assignee: Facebook, Inc.Inventors: James Wah Hou Wong, Ashish Kumar Yadav, Jinyi Yao, Bradley Ray Green