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公开(公告)号:US20190042976A1
公开(公告)日:2019-02-07
申请号:US15666461
申请日:2017-08-01
Applicant: Facebook, Inc.
Inventor: Apaorn Tanglertsampan , Hannah Marie Hemmaplardh , Deepak Chinavle , Nigel Carter , Brendon Elias Manwaring , Bradley Ray Green
Abstract: Systems, methods, and non-transitory computer readable media can determine one or more actions that a user is likely to take on a page associated with a social networking system, based on one or more first machine learning models. One or more card types that correspond to the one or more actions can be ranked based on a second machine learning model. One or more cards can be generated based on the ranked card types, and each card can include a recommended action associated with the page.