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公开(公告)号：US20200045354A1
公开(公告)日：2020-02-06
申请号：US16054871
申请日：2018-08-03
Applicant: Facebook, Inc.
Inventor： Tianshi Gao , Xiangyu Wang , Ou Jin , Yifei Huang , Vignesh Ramanathan
Abstract: An online system receives content items from a third party content provider. For each content item, the online system inputs an image into a neural network and extracts a feature vector from a hidden layer of the neural network. The online system compresses each feature vector by assigning a label to each feature value representing whether the feature value was above a threshold value. The online system identifies a set of content items that the user has interacted with and determines a user feature vector by aggregating feature vectors of the set of content items. For a new set of content items, the online system compares the compressed feature vectors of the content item with the user feature vector. The online system selects one or more of the new content items based on the comparison and sends the selected content items to the user.
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公开(公告)号：US10602207B2
公开(公告)日：2020-03-24
申请号：US16054871
申请日：2018-08-03
Applicant: Facebook, Inc.
Inventor： Tianshi Gao , Xiangyu Wang , Ou Jin , Yifei Huang , Vignesh Ramanathan
Abstract: An online system receives content items from a third party content provider. For each content item, the online system inputs an image into a neural network and extracts a feature vector from a hidden layer of the neural network. The online system compresses each feature vector by assigning a label to each feature value representing whether the feature value was above a threshold value. The online system identifies a set of content items that the user has interacted with and determines a user feature vector by aggregating feature vectors of the set of content items. For a new set of content items, the online system compares the compressed feature vectors of the content item with the user feature vector. The online system selects one or more of the new content items based on the comparison and sends the selected content items to the user.
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公开(公告)号：US20180336490A1
公开(公告)日：2018-11-22
申请号：US15599240
申请日：2017-05-18
Applicant: Facebook, Inc.
Inventor： Tianshi Gao , Ahmad Abdulmageed Mohammed Abdulkader , Yifei Huang , Ou Jin , Liang Xiong
Abstract: To select the content to be presented to the user, a first latent vector is determined for a content item based on a first object associated with the content item. A second latent vector is determined for the content item based on a second object associated with the content item. A content item vector is then determined based on the first and second latent vectors. Furthermore, a user vector is determined based on interactions of the user with the first set of content objects and the second set of content objects. A score indicative of the likelihood of the user interacting with the content item is determined based on the content item vector and the user vector.
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