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公开(公告)号：US20180219814A1
公开(公告)日：2018-08-02
申请号：US15421033
申请日：2017-01-31
Applicant: Yahoo! Inc.
Inventor： Yoelle Maarek , Ido Guy , Dan Pelleg , Idan Szpektor , Alexander Nus , Jeffrey Bonforte
CPC classification number: H04L51/08 , G06F16/583 , G06K9/00677 , G06Q50/01 , H04L51/10
Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosure provides a novel, computerized framework for automatically identifying and recommending socially-engaging photos to their creators for sharing. Execution of the disclosed systems and methods turns a tedious manual chore into an automated, software-driven process. The disclosed systems and methods utilizes a novel, computerized learn-to-rank (LTR) algorithm for identifying the most engaging, socially driven photos by: (a) grouping near-duplicate photos; (b) selecting a representative photo for sharing per group; and (c) ranking of the groups by their likelihood to contain a “shareable” photo.
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公开(公告)号：US20200090062A1
公开(公告)日：2020-03-19
申请号：US16693825
申请日：2019-11-25
Applicant: Yahoo! Inc.
Inventor： Dan Pelleg , Oleg Rokhlenko , Idan Szpektor , Yuval David Pinter , David Carmel , Shirin Oskooi , Somesh Jain , Archit Shrivastava
IPC: G06N5/04
Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.
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Patent Agency Ranking
公开(公告)号：US09684908B2
公开(公告)日：2017-06-20
申请号：US14449390
申请日：2014-08-01
Applicant: Yahoo!, Inc.
Inventor： Oleg Rokhlenko , Idan Szpektor
CPC classification number: G06Q30/02
Abstract: A content item presented to a user may involve two or more topics, such as news articles mentioning athletes or actors. Users may enjoy expressing opinions about a comparison of the topics, such as personal preferences or an evaluation of talent. Presented herein are techniques for automatically generating, for the content item, a poll among the topics of the content item. The respective comparisons of a comparison set are evaluated for the topics of the content item, and a comparison relevance score is computed identifying the relevance of the comparison of the topics. The comparison having the highest relevance for the topics is selected, and a comparison question is formulated and presented to the user with the content item. Results may be tabulated and presented for the topics of the content item. These techniques facilitate user expression about the content item without depending upon user-authored polls for each content item.
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公开(公告)号：US20160034585A1
公开(公告)日：2016-02-04
申请号：US14449390
申请日：2014-08-01
Applicant: Yahoo!, Inc.
Inventor： Oleg Rokhlenko , Idan Szpektor
IPC: G06F17/30
CPC classification number: G06Q30/02
Abstract: A content item presented to a user may involve two or more topics, such as news articles mentioning athletes or actors. Users may enjoy expressing opinions about a comparison of the topics, such as personal preferences or an evaluation of talent. Presented herein are techniques for automatically generating, for the content item, a poll among the topics of the content item. The respective comparisons of a comparison set are evaluated for the topics of the content item, and a comparison relevance score is computed identifying the relevance of the comparison of the topics. The comparison having the highest relevance for the topics is selected, and a comparison question is formulated and presented to the user with the content item. Results may be tabulated and presented for the topics of the content item. These techniques facilitate user expression about the content item without depending upon user-authored polls for each content item.
Abstract translation: 呈现给用户的内容项目可以涉及两个或多个主题，例如提及运动员或演员的新闻文章。 用户可以对个人偏好或人才评估等主题进行比较，表达意见。 这里提出的是用于为内容项目自动生成内容项目的主题之间的轮询的技术。 针对内容项的主题评估对比集合的各自比较，并且计算比较相关性得分，以识别主题的比较的相关性。 选择与主题相关性最高的比较，并且对用户提供比较问题并呈现给内容项。 可以将结果列表并呈现给内容项的主题。 这些技术有助于用户对内容项的表达，而不依赖于每个内容项的用户创建的轮询。
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公开(公告)号：US20150339590A1
公开(公告)日：2015-11-26
申请号：US14284180
申请日：2014-05-21
Applicant: Yahoo! Inc.
Inventor： Yoelle Maarek , Avihai Mejer , Idan Szpektor , Dan Pelleg
CPC classification number: G06N99/005 , G06F17/30477 , G06F17/30634 , G06F17/30637 , G06F17/30643 , G06F17/30864 , H04L67/02
Abstract: Briefly, embodiments disclosed herein may relate to formulating synthetic questions, such as in response to a search query, for example. Candidate synthetic questions may be presented to a user who may initiate a search at least in part by selecting one or more candidate synthetic questions, for example, in an embodiment.
Abstract translation: 简而言之，本文公开的实施例可以涉及例如响应于搜索查询来制定综合问题。 候选合成问题可以呈现给可以至少部分地通过选择一个或多个候选综合问题来发起搜索的用户，例如在一个实施例中。
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公开(公告)号：US20170351750A1
公开(公告)日：2017-12-07
申请号：US15170754
申请日：2016-06-01
Applicant: Yahoo! Inc.
Inventor： Oleg Rokhlenko , David Carmel , Idan Szpektor , Adi Omari
IPC: G06F17/30
CPC classification number: G06Q50/01 , G06F16/9535
Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for in part, to facilitate and/or support one or more operations and/or techniques for ranking answers for on-line community questions.
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公开(公告)号：US20170249311A1
公开(公告)日：2017-08-31
申请号：US15055220
申请日：2016-02-26
Applicant: Yahoo! Inc.
Inventor： Dan Pelleg , Oleg Rokhlenko , Idan Szpektor , Yuval David Pinter , David Carmel , Shirin Oskooi , Somesh Jain , Archit Shrivastava
CPC classification number: G06N5/04
Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.
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