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公开(公告)号:US20180107742A1
公开(公告)日:2018-04-19
申请号:US15297024
申请日:2016-10-18
Applicant: Facebook, Inc.
Inventor: Komal Kapoor , Apaorn Tanglertsampan , Bradley Ray Green , Meiying Li , James Donovan , Hannah Marie Hemmaplardh
CPC classification number: G06F16/9535 , G06F16/24578 , G06F16/248 , G06N20/00 , G06Q50/01
Abstract: Systems, methods, and non-transitory computer-readable media can train a machine learning model to determine predictive search recommendation based on search prediction information. Search prediction information associated with a user is provided to the machine learning model. A predictive search recommendation is presented to the user based on the machine learning model and the search prediction information. A search is performed based on the predictive search recommendation for one or more search results associated with entity pages on a social networking system.
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2.
公开(公告)号:US20180107741A1
公开(公告)日:2018-04-19
申请号:US15297007
申请日:2016-10-18
Applicant: Facebook, Inc.
Inventor: Komal Kapoor , Apaorn Tanglertsampan , Bradley Ray Green , Meiying Li , James Donovan , Hannah Marie Hemmaplardh
IPC: G06F17/30
CPC classification number: G06F16/9535 , G06F21/6218
Abstract: Systems, methods, and non-transitory computer-readable media can present a service directory landing page comprising a plurality of selectable service category options associated with a plurality of pre-defined service categories. A search results page is presented, including one or more search results based on search criteria. Each of the one or more search results is associated with an entity page of a social networking system. The service directory landing page and the search results page are accessible without logging into the social networking system. Each entity page on the social networking system is accessible only when logged into the social networking system.
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3.
公开(公告)号:US20190057156A1
公开(公告)日:2019-02-21
申请号:US15680556
申请日:2017-08-18
Applicant: Facebook, Inc.
Inventor: Meiying Li , Bradley Ray Green , Jing He , Andrew Bangkrasor Johnson
Abstract: Systems, methods, and non-transitory computer readable media can receive a request to generate a hovercard associated with a page of a social networking system for a user. One or more of textual content items associated with the page, multimedia content items associated with the page, or actions associated with the page can be ranked for the user, based on one or more machine learning models. The hovercard associated with the page can be dynamically generated for the user for display, based on the ranked textual content items, multimedia content items, or actions.
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公开(公告)号:US11163843B1
公开(公告)日:2021-11-02
申请号:US16236194
申请日:2018-12-28
Applicant: Facebook, Inc.
Inventor: Meiying Li , Jinyi Yao , Bradley Ray Green
IPC: G06F16/9535 , G06Q50/00 , G06F16/906 , G06N20/00
Abstract: 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.
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公开(公告)号:US10289647B2
公开(公告)日:2019-05-14
申请号:US14980439
申请日:2015-12-28
Applicant: Facebook, Inc.
Inventor: Meiying Li , Jason Eric Brewer , Bradley Ray Green
IPC: G06F3/0483 , G06F16/9535 , G06F3/0485 , H04L29/08 , G06F17/21
Abstract: An online system, such as a social networking system, recommends pages of content to users. The recommendation is presented in a recommendation unit presenting one or more representations of pages to a user. Additionally, the user may interact with the recommendation unit to change representations of pages presented by the recommendation unit. A representation of a page presented by the recommendation unit includes content from one or more content items on the page selected based on interaction with the content items on the page and types of content included in content items on the page (e.g., image data, video data, destination address). Representations of different pages may differ based on the types of content included in content items selected from the different pages.
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6.
公开(公告)号:US20170185683A1
公开(公告)日:2017-06-29
申请号:US14980439
申请日:2015-12-28
Applicant: Facebook, Inc.
Inventor: Meiying Li , Jason Eric Brewer , Bradley Ray Green
IPC: G06F17/30 , G06F17/21 , H04L29/08 , G06F3/0483 , G06F3/0485
CPC classification number: G06F17/30867 , G06F3/0483 , G06F3/0485 , G06F17/212 , H04L67/02 , H04L67/306
Abstract: An online system, such as a social networking system, recommends pages of content to users. The recommendation is presented in a recommendation unit presenting one or more representations of pages to a user. Additionally, the user may interact with the recommendation unit to change representations of pages presented by the recommendation unit. A representation of a page presented by the recommendation unit includes content from one or more content items on the page selected based on interaction with the content items on the page and types of content included in content items on the page (e.g., image data, video data, destination address). Representations of different pages may differ based on the types of content included in content items selected from the different pages.
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