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1.发明申请公开(公告)号：US20190102466A1
公开(公告)日：2019-04-04
申请号：US15721577
申请日：2017-09-29
Applicant: Facebook, Inc.
Inventor： Lu Wang , Shengbo Guo , Grace Louise Jackson , Kristin S. Hendrix , Yue Zhuo , Seyoung Park , Yixian Zhu , Christopher John Leggetter , James Li , Michael Charles Bailey
CPC classification number: G06F16/9535 , G06F16/9574 , G06F16/9577 , G06F16/958 , G06Q30/02 , G06Q50/01 , H04L67/22 , H04L67/306
Abstract: An online system receives posts that include links to various external pages and presents those posts to users of the online system. When the online system determines an opportunity to present a post to a particular viewing user of the online system, the online system determines a quality metric and an associated value score for the post. The quality metric is determined as a likelihood that the viewing user will view the external page for less than a threshold time period, and is used to adjust the associated value score. The online system compares the value score of the post to the value scores of other posts and selects one or more of the compared posts for presentation to the viewing user of the online system.
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公开(公告)号：US10180935B2
公开(公告)日：2019-01-15
申请号：US15422463
申请日：2017-02-02
Applicant: Facebook, Inc.
Inventor： Daniel Matthew Merl , Aditya Pal , Stanislav Funiak , Seyoung Park , Fei Huang , Amac Herdagdelen
Abstract: A system for identifying language(s) for content items is disclosed. The system can identify different languages for content item words segments by identifying segment languages that maximize a probability across the segments. The probability can be a combination of: an author's likelihood for the language identified for the first word; a combination of transition frequencies for selected languages identified for words, the transition frequencies indicating likelihoods that a transition occurred to the selected language from the previous word's language; and a combination of observation probabilities indicating, for a given word in the content item, a likelihood the given word is in the identified language. For an in-vocabulary word, the observation probabilities can be based on learned probability for that word. For an out-of-vocabulary word, the probability can be computed by breaking the word into overlapping n-grams and computing combined learned probabilities that each n-gram is in the given language.
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公开(公告)号：US10387516B2
公开(公告)日：2019-08-20
申请号：US15721577
申请日：2017-09-29
Applicant: Facebook, Inc.
Inventor： Lu Wang , Shengbo Guo , Grace Louise Jackson , Kristin S. Hendrix , Yue Zhuo , Seyoung Park , Yixian Zhu , Christopher John Leggetter , James Li , Michael Charles Bailey
IPC: G06F16/9535 , G06Q50/00 , H04L29/08 , G06F16/958 , G06F16/957 , G06Q30/02
Abstract: An online system receives posts that include links to various external pages and presents those posts to users of the online system. When the online system determines an opportunity to present a post to a particular viewing user of the online system, the online system determines a quality metric and an associated value score for the post. The quality metric is determined as a likelihood that the viewing user will view the external page for less than a threshold time period, and is used to adjust the associated value score. The online system compares the value score of the post to the value scores of other posts and selects one or more of the compared posts for presentation to the viewing user of the online system.
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公开(公告)号：US20180189259A1
公开(公告)日：2018-07-05
申请号：US15422463
申请日：2017-02-02
Applicant: Facebook, Inc.
Inventor： Daniel Matthew Merl , Aditya Pal , Stanislav Funiak , Seyoung Park , Fei Huang , Amac Herdagdelen
IPC: G06F17/27
CPC classification number: G06F17/275 , G06F17/2294 , G06F17/2775
Abstract: A system for identifying language(s) for content items is disclosed. The system can identify different languages for content item words segments by identifying segment languages that maximize a probability across the segments. The probability can be a combination of: an author's likelihood for the language identified for the first word; a combination of transition frequencies for selected languages identified for words, the transition frequencies indicating likelihoods that a transition occurred to the selected language from the previous word's language; and a combination of observation probabilities indicating, for a given word in the content item, a likelihood the given word is in the identified language. For an in-vocabulary word, the observation probabilities can be based on learned probability for that word. For an out-of-vocabulary word, the probability can be computed by breaking the word into overlapping n-grams and computing combined learned probabilities that each n-gram is in the given language.
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