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公开(公告)号：US20170220578A1
公开(公告)日：2017-08-03
申请号：US15014846
申请日：2016-02-03
Applicant: Facebook, Inc.
Inventor： Rousseau Newaz Kazi , Mark Andrew Rich , Christina Joan Sauper , Amaç Herdagdelen , Soorya Vamsi Mohan Tanikella , Brett Matthew Westervelt , Maykel Andreas Louisa Jozef Anna Loomans , Adam Eugene Bussing , Shuyi Zheng
IPC: G06F17/30
CPC classification number: G06F17/30867 , G06F17/2785 , G06Q30/0251 , G06Q50/01
Abstract: In one embodiment, a method includes accessing a plurality of communications, each communication being associated with a particular content item and including a text of the communication; calculating, for each of the communications, sentiment-scores corresponding to sentiments, wherein each sentiment-score is based on a degree to which n-grams of the text of the communication match sentiment-words associated with the sentiments; determining, for each of the communications, an overall sentiment for the communication based on the calculated sentiment-scores for the communication; calculating sentiment levels for the particular content item corresponding sentiments, each sentiment level being based on a total number of communications determined to have the overall sentiment of the sentiment level; and generating a sentiments-module including sentiment-representations corresponding to overall sentiments having sentiment levels greater than a threshold sentiment level.
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公开(公告)号：US20160155063A1
公开(公告)日：2016-06-02
申请号：US14556854
申请日：2014-12-01
Applicant: Facebook, Inc.
Inventor： Mark Andrew Rich
CPC classification number: G06N20/00 , G06F16/24578 , G06F16/9535 , G06N5/022
Abstract: In one embodiment, a method includes accessing a first set of objects associated with an online social network, each object being associated with one or more comments. The method also includes generating a second set of objects from the first set of objects by applying a first filtering criteria to the first set of objects and scoring each object in the second set of objects based on the comments associated with each object. The method further includes generating a training set of objects from the second set of objects by selecting each object from the second set of objects having a score greater than a first threshold score, each object in the training set being associated with a first object-classification. The method further includes determining an object-classifier algorithm for the first object-classification, the object-classifier algorithm being determined through an iterative training process performed one or more times.
Abstract translation: 在一个实施例中，一种方法包括访问与在线社交网络相关联的第一组对象，每个对象与一个或多个注释相关联。 该方法还包括通过将第一过滤标准应用于第一组对象并基于与每个对象相关联的评论对第二组对象中的每个对象进行评分来从第一组对象生成第二组对象。 该方法还包括通过从具有大于第一阈值分数的分数的第二组对象中选择每个对象来生成来自第二组对象的对象的训练集，训练集中的每个对象与第一对象分类相关联 。 该方法还包括确定用于第一对象分类的对象分类器算法，通过一次或多次执行的迭代训练处理来确定对象分类器算法。
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公开(公告)号：US10157224B2
公开(公告)日：2018-12-18
申请号：US15014895
申请日：2016-02-03
Applicant: Facebook, Inc.
Inventor： Rousseau Newaz Kazi , Mark Andrew Rich , Christina Joan Sauper , Amaç Herda{hacek over (g)}delen , Soorya Vamsi Mohan Tanikella , Brett Matthew Westervelt , Maykel Andreas Louisa Jozef Anna Loomans , Adam Eugene Bussing , Shuyi Zheng
Abstract: In one embodiment, a method includes accessing a plurality of communications, each communication being associated with a particular content item and including a text of the communication; extracting, for each of the communications, quotations from the text of the communication; determining, for each extracted quotation, partitions of the quotation; grouping the extracted quotations into clusters based on a respective degree of similarity among their respective partitions; calculating a cluster-score for each cluster based on a frequency of occurrence of partitions of quotations in the cluster in the communications; and generating a quotations-module comprising representative quotations, each representative quotation being a quotation from a cluster having a cluster-score greater than a threshold cluster-score.
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公开(公告)号：US20170220677A1
公开(公告)日：2017-08-03
申请号：US15014895
申请日：2016-02-03
Applicant: Facebook, Inc.
Inventor： Rousseau Newaz Kazi , Mark Andrew Rich , Christina Joan Sauper , Amaç Herdagdelen , Soorya Vamsi Mohan Tanikella , Brett Matthew Westervelt , Maykel Andreas Louisa Jozef Anna Loomans , Adam Eugene Bussing , Shuyi Zheng
CPC classification number: G06F17/30705 , G06F17/30684 , G06F17/30867 , G06F17/30958 , G06Q50/01 , H04L51/12 , H04L51/32 , H04L63/102 , H04L67/02 , H04L67/20 , H04L67/306
Abstract: In one embodiment, a method includes accessing a plurality of communications, each communication being associated with a particular content item and including a text of the communication; extracting, for each of the communications, quotations from the text of the communication; determining, for each extracted quotation, partitions of the quotation; grouping the extracted quotations into clusters based on a respective degree of similarity among their respective partitions; calculating a cluster-score for each cluster based on a frequency of occurrence of partitions of quotations in the cluster in the communications; and generating a quotations-module comprising representative quotations, each representative quotation being a quotation from a cluster having a cluster-score greater than a threshold cluster-score.
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公开(公告)号：US10216850B2
公开(公告)日：2019-02-26
申请号：US15014846
申请日：2016-02-03
Applicant: Facebook, Inc.
Inventor： Rousseau Newaz Kazi , Mark Andrew Rich , Christina Joan Sauper , Amaç Herda{hacek over (g)}delen , Soorya Vamsi Mohan Tanikella , Brett Matthew Westervelt , Maykel Andreas Louisa Jozef Anna Loomans , Adam Eugene Bussing , Shuyi Zheng
Abstract: In one embodiment, a method includes accessing a plurality of communications, each communication being associated with a particular content item and including a text of the communication; calculating, for each of the communications, sentiment-scores corresponding to sentiments, wherein each sentiment-score is based on a degree to which n-grams of the text of the communication match sentiment-words associated with the sentiments; determining, for each of the communications, an overall sentiment for the communication based on the calculated sentiment-scores for the communication; calculating sentiment levels for the particular content item corresponding sentiments, each sentiment level being based on a total number of communications determined to have the overall sentiment of the sentiment level; and generating a sentiments-module including sentiment-representations corresponding to overall sentiments having sentiment levels greater than a threshold sentiment level.
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Patent Agency Ranking
公开(公告)号：US10127316B2
公开(公告)日：2018-11-13
申请号：US14455798
申请日：2014-08-08
Applicant: Facebook, Inc.
Inventor： Russell Lee-Goldman , Lada Ariana Adamic , David M. Goldblatt , Yuval Kesten , Mark Andrew Rich , Nidhi Gupta , Amy Campbell , Andrew Rocco Tresolini Fiore
Abstract: In one embodiment, a method includes receiving unstructured text from a user of a social-networking system, determining whether the unstructured text includes a request for a recommendation, identifying one or more first entity names in the unstructured text, generating a structured query based upon the one or more first entity names, identifying, in the social graph, one or more second entity names corresponding to the structured query, and presenting the one or more second entity names and the unstructured text in a social context of the user. The unstructured text may include text of a post or message generated by the user on a social-networking system. A score may be generated based on the unstructured text to determine whether the text includes a request for recommendation using a machine-learning model based on comparison of the unstructured text to the one or more predetermined words associated with requests for recommendation.
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公开(公告)号：US10270882B2
公开(公告)日：2019-04-23
申请号：US15014911
申请日：2016-02-03
Applicant: Facebook, Inc.
Inventor： Rousseau Newaz Kazi , Mark Andrew Rich , Christina Joan Sauper , Amaç Herda{hacek over (g)}delen , Soorya Vamsi Mohan Tanikella , Brett Matthew Westervelt , Maykel Andreas Louisa Jozef Anna Loomans , Adam Eugene Bussing , Shuyi Zheng
Abstract: In one embodiment, a method includes accessing a plurality of communications, each communication being associated with a particular content item and including a text of the communication; extracting, for each of the communications, n-grams from the text of the communication; identifying mention-terms from the extracted n-grams, each mention-term being a noun-phrase; calculating a term-score for each mention-term based on a frequency of occurrence of the mention-term in the communications; and generating a mentions-module including mentions, each mention including a mention-term having a term-score greater than a threshold term-score and text from communications comprising the mention-term.
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公开(公告)号：US20170220652A1
公开(公告)日：2017-08-03
申请号：US15014868
申请日：2016-02-03
Applicant: Facebook, Inc.
Inventor： Rousseau Newaz Kazi , Mark Andrew Rich , Christina Joan Sauper , Amaç Herdagdelen , Soorya Vamsi Mohan Tanikella , Brett Matthew Westervelt , Maykel Andreas Louisa Jozef Anna Loomans , Adam Eugene Bussing , Shuyi Zheng
IPC: G06F17/30
CPC classification number: G06F17/30554 , G06F17/3053 , G06F17/30867 , G06Q50/01
Abstract: In one embodiment, a method includes receiving, from a client system of a first user, a request associated with a particular content item; identifying communications authored by one or more users, each identified communication being associated with the particular content item; generating one or more search-results modules related to the particular content item, each search-results module being of a particular module type, wherein each search-results module includes information from a subset of the identified communications, the information corresponding to the particular module type of the search-results module, and wherein a number of communications in the subset of the identified communications including each search-results module is greater than a module-specific threshold number of communications; and sending, to the client system, a search-results interface comprising one or more of the search-results modules.
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公开(公告)号：US10552759B2
公开(公告)日：2020-02-04
申请号：US14556854
申请日：2014-12-01
Applicant: Facebook, Inc.
Inventor： Mark Andrew Rich
IPC: G06N20/00 , G06F16/9535 , G06F16/2457
Abstract: In one embodiment, a method includes accessing a first set of objects associated with an online social network, each object being associated with one or more comments. The method also includes generating a second set of objects from the first set of objects by applying a first filtering criteria to the first set of objects and scoring each object in the second set of objects based on the comments associated with each object. The method further includes generating a training set of objects from the second set of objects by selecting each object from the second set of objects having a score greater than a first threshold score, each object in the training set being associated with a first object-classification. The method further includes determining an object-classifier algorithm for the first object-classification, the object-classifier algorithm being determined through an iterative training process performed one or more times.
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公开(公告)号：US10242074B2
公开(公告)日：2019-03-26
申请号：US15014868
申请日：2016-02-03
Applicant: Facebook, Inc.
Inventor： Rousseau Newaz Kazi , Mark Andrew Rich , Christina Joan Sauper , Amaç Herda{hacek over (g)}delen , Soorya Vamsi Mohan Tanikella , Brett Matthew Westervelt , Maykel Andreas Louisa Jozef Anna Loomans , Adam Eugene Bussing , Shuyi Zheng
Abstract: In one embodiment, a method includes receiving, from a client system of a first user, a request associated with a particular content item; identifying communications authored by one or more users, each identified communication being associated with the particular content item; generating one or more search-results modules related to the particular content item, each search-results module being of a particular module type, wherein each search-results module includes information from a subset of the identified communications, the information corresponding to the particular module type of the search-results module, and wherein a number of communications in the subset of the identified communications including each search-results module is greater than a module-specific threshold number of communications; and sending, to the client system, a search-results interface comprising one or more of the search-results modules.
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