Patents by Inventor Jinfeng Zhuang
Jinfeng Zhuang 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: 11768888Abstract: Disclosed are systems and methods for autonomously extracting attributes from domains of a vertical. The disclosed implementations train a deep neural network (“DNN”) based on one or more domains of a vertical using labeled embedding vectors generated for nodes of those one or more domains. The trained DNN may then be used to autonomously label nodes of other domains within the same vertical such that attributes corresponding to those labels can be extracted.Type: GrantFiled: August 11, 2021Date of Patent: September 26, 2023Assignee: Pinterest, Inc.Inventors: Jinfeng Zhuang, Zhengda Zhao, Vijai Mohan
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Patent number: 11755671Abstract: Systems and methods for recommending content to an online service user are presented. In response to a request from a user, a set of n-grams of the request are generated, with each n-gram comprising one or more terms from the request and each n-gram of the set of n-grams being unique. Embedding vectors projecting the n-grams into a content item embedding space are generated, and the embedding vectors are combined into a representative embedding vector for the request. The nearest content items are identified according to a distance measure between a projection of the representative embedding vector and embedding vectors of content items of a corpus of content items in the content item embedding space. At least some of the nearest content items are returned as recommended content in response to the request from the user.Type: GrantFiled: February 4, 2022Date of Patent: September 12, 2023Assignee: Pinterest, Inc.Inventors: Jinfeng Zhuang, Yunsong Guo
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Publication number: 20220327168Abstract: Disclosed are systems and methods for autonomously extracting attributes from domains of a vertical. The disclosed implementations train a deep neural network (“DNN”) based on one or more domains of a vertical using labeled embedding vectors generated for nodes of those one or more domains. The trained DNN may then be used to autonomously label nodes of other domains within the same vertical such that attributes corresponding to those labels can be extracted.Type: ApplicationFiled: August 11, 2021Publication date: October 13, 2022Inventors: Jinfeng Zhuang, Zhengda Zhao, Vijai Mohan
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Publication number: 20220156336Abstract: Systems and methods for recommending content to an online service user are presented. In response to a request from a user, a set of n-grams of the request are generated, with each n-gram comprising one or more terms from the request and each n-gram of the set of n-grams being unique. Embedding vectors projecting the n-grams into a content item embedding space are generated, and the embedding vectors are combined into a representative embedding vector for the request. The nearest content items are identified according to a distance measure between a projection of the representative embedding vector and embedding vectors of content items of a corpus of content items in the content item embedding space. At least some of the nearest content items are returned as recommended content in response to the request from the user.Type: ApplicationFiled: February 4, 2022Publication date: May 19, 2022Inventors: Jinfeng Zhuang, Yunsong Guo
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Patent number: 11244015Abstract: Systems and methods for recommending content to an online service user are presented. In response to a request from a user, a set of n-grams of the request are generated, with each n-gram comprising one or more terms from the request and each n-gram of the set of n-grams being unique. Embedding vectors projecting the n-grams into a content item embedding space are generated, and the embedding vectors are combined into a representative embedding vector for the request. The nearest content items are identified according to a distance measure between a projection of the representative embedding vector and embedding vectors of content items of a corpus of content items in the content item embedding space. At least some of the nearest content items are returned as recommended content in response to the request from the user.Type: GrantFiled: May 13, 2020Date of Patent: February 8, 2022Assignee: Pinterest, Inc.Inventors: Jinfeng Zhuang, Yunsong Guo
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Patent number: 9292580Abstract: A user behavior model provides personalized recommendations based in part on time and location, particularly to users of mobile devices. Entity types are ranked according to relevance to the user. Example entity types are restaurant, hotel, etc. The relevance may be based on reference to a large-scale database containing queries from other users. Additionally, entities within each entity type may be ranked based on relevance to the user and the time and location context. A user interface may display a ranked list of entity types, such as restaurant, hotel, etc., wherein each entity type is represented by a highest-ranked entity with the entity type. Thus, the user interface may display a highest-ranked restaurant, a highest-ranked hotel, etc. Upon user selection of one such entity type the user interface is replaced with a second user interface, for example showing a ranked hierarchy of restaurants, headed by the highest-ranked restaurant.Type: GrantFiled: June 9, 2014Date of Patent: March 22, 2016Assignee: Microsoft Technology Licensing, LLCInventors: Tao Mei, Ying-Qing Xu, Shipeng Li, Jinfeng Zhuang, Bo Zhang, Peng Xu
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Publication number: 20140289228Abstract: A user behavior model provides personalized recommendations based in part on time and location, particularly to users of mobile devices. Entity types are ranked according to relevance to the user. Example entity types are restaurant, hotel, etc. The relevance may be based on reference to a large-scale database containing queries from other users. Additionally, entities within each entity type may be ranked based on relevance to the user and the time and location context. A user interface may display a ranked list of entity types, such as restaurant, hotel, etc., wherein each entity type is represented by a highest-ranked entity with the entity type. Thus, the user interface may display a highest-ranked restaurant, a highest-ranked hotel, etc. Upon user selection of one such entity type the user interface is replaced with a second user interface, for example showing a ranked hierarchy of restaurants, headed by the highest-ranked restaurant.Type: ApplicationFiled: June 9, 2014Publication date: September 25, 2014Inventors: Tao Mei, Ying-Qing Xu, Shipeng Li, Jinfeng Zhuang, Bo Zhang, Peng Xu
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Patent number: 8751472Abstract: A user behavior model provides personalized recommendations based in part on time and location, particularly to users of mobile devices. Entity types are ranked according to relevance to the user. Example entity types are restaurant, hotel, etc. The relevance may be based on reference to a large-scale database containing queries from other users. Additionally, entities within each entity type may be ranked based on relevance to the user and the time and location context. A user interface may display a ranked list of entity types, such as restaurant, hotel, etc., wherein each entity type is represented by a highest-ranked entity with the entity type. Thus, the user interface may display a highest-ranked restaurant, a highest-ranked hotel, etc. Upon user selection of one such entity type the user interface is replaced with a second user interface, for example showing a ranked hierarchy of restaurants, headed by the highest-ranked restaurant.Type: GrantFiled: May 19, 2011Date of Patent: June 10, 2014Assignee: Microsoft CorporationInventors: Tao Mei, Ying-Qing Xu, Shipeng Li, Jinfeng Zhuang, Bo Zhang, Peng Xu
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Patent number: 8579299Abstract: A gasket has an upper face and a lower face. The gasket comprises an adhesive element that can have a combination of adhesion strength and compression set resistance. The adhesive element can be carried by a carrier sheet or may be directly applied to sealing surfaces in contact with the gasket.Type: GrantFiled: April 3, 2009Date of Patent: November 12, 2013Assignee: Interface Solutions, Inc.Inventors: Jinfeng Zhuang, Jeffery Barrall, EvAnn Rempala, Dennis Dempsey
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Publication number: 20120295640Abstract: A user behavior model provides personalized recommendations based in part on time and location, particularly to users of mobile devices. Entity types are ranked according to relevance to the user. Example entity types are restaurant, hotel, etc. The relevance may be based on reference to a large-scale database containing queries from other users. Additionally, entities within each entity type may be ranked based on relevance to the user and the time and location context. A user interface may display a ranked list of entity types, such as restaurant, hotel, etc., wherein each entity type is represented by a highest-ranked entity with the entity type. Thus, the user interface may display a highest-ranked restaurant, a highest-ranked hotel, etc. Upon user selection of one such entity type the user interface is replaced with a second user interface, for example showing a ranked hierarchy of restaurants, headed by the highest-ranked restaurant.Type: ApplicationFiled: May 19, 2011Publication date: November 22, 2012Applicant: Microsoft CorporationInventors: Tao Mei, Ying-Qing Xu, Shipeng Li, Jinfeng Zhuang, Bo Zhang, Peng Xu
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Publication number: 20120297038Abstract: Techniques describe analyzing users and groups of a social network to identify user interests and providing recommendations for a user based on the user's identified interests. A content-awareness application obtains a collection of images and tags associated with the images belonging to members in the social network. The content-awareness application decomposes the members into a representative matrix to identify users and groups in order to calculate a similarity matrix between the users and their images based on a visual content of the images and a textual content of the tags. The content-awareness application further constructs a graph Laplacian over the users and the groups to align with the representative matrix based at least in part on the similarity matrix and further provides recommendations of groups for a user to join in the social network based at least in part on the graph Laplacian identifying the user's interests.Type: ApplicationFiled: May 16, 2011Publication date: November 22, 2012Applicant: Microsoft CorporationInventors: Tao Mei, Xian-Sheng Hua, Shipeng Li, Jinfeng Zhuang
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Patent number: 7905498Abstract: A gasket for creating a seal between two surfaces. The gasket may include a pervious base sheet and a permeating material applied to or incorporated into the base sheet. The gasket is formed by various methods disclosed herein. The gasket may include a base sheet, a primary sealing material covering the base sheet, and a secondary sealing material covering the primary sealing material.Type: GrantFiled: March 28, 2007Date of Patent: March 15, 2011Assignee: Interface Solutions, Inc.Inventors: Dennis Dempsey, Jeffery Barrall, EvAnn Rempala, Jinfeng Zhuang
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Publication number: 20100253012Abstract: A gasket has an upper face and a lower face. The gasket comprises an adhesive element that can have a combination of adhesion strength and compression set resistance. The adhesive element can be carried by a carrier sheet or may be directly applied to sealing surfaces in contact with the gasket.Type: ApplicationFiled: April 3, 2009Publication date: October 7, 2010Inventors: Jinfeng Zhuang, Jeffery Barrall, EvAnn Rempala, Dennis Dempsey
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Publication number: 20070228668Abstract: A gasket for creating a seal between two surfaces. The gasket may include a pervious base sheet and a permeating material applied to or incorporated into the base sheet. The gasket is formed by various methods disclosed herein. The gasket may include a base sheet, a primary sealing material covering the base sheet, and a secondary sealing material covering the primary sealing material.Type: ApplicationFiled: March 28, 2007Publication date: October 4, 2007Inventors: Dennis Dempsey, Jeffery Barrall, EvAnn Rempala, Jinfeng Zhuang