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1.发明申请公开(公告)号：US20170154216A1
公开(公告)日：2017-06-01
申请号：US14953925
申请日：2015-11-30
Applicant: YAHOO! INC.
Inventor： Lyndon Kennedy , Ioannis Kalantidis , David Shamma
CPC classification number: G06K9/00463 , G06F17/30247 , G06F17/30321 , G06F17/30324 , G06K9/00409 , G06K9/00469 , G06K9/00483 , G06K9/00536 , G06K9/4676 , G06K9/6215 , G06K9/6223 , G06K9/6232 , H04N19/94
Abstract: A digital document is represented as a set of codes comprising indices into a feature space comprising a number of subspaces, each code corresponds to one subspace and identifying a cell within the subspace. Each digital document can be represented by a code set, and the code set can be used as selection criteria for identifying a number of digital documents using each digital document's corresponding code set. By way of some non-limiting examples, digital document code sets can be used to identify similar or different digital images, used to identify duplicate or nearly-duplicate digital images, used to identify similar and/or different digital images for inclusion in a recommendation, used to identify and rank digital images in a set of search results.
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2.发明申请SYSTEM AND METHOD FOR CONTENT BASED SOCIAL RECOMMENDATIONS AND MONETIZATION THEREOF 审中-公开基于内容的社会建议及其制度的系统与方法公开(公告)号：US20150032535A1
公开(公告)日：2015-01-29
申请号：US13951078
申请日：2013-07-25
Applicant: YAHOO! INC.
Inventor： Jia Li , David Shamma
CPC classification number: G06Q50/01 , G06Q30/0255
Abstract: Disclosed is a system and method for automatically detecting social relationships from consumer image collections. The disclosed systems and methods provide the ability to infer relationships between people thereby creating dynamic social networks from the occurrences of people appearing in digital images. Occurrences of people in pictures can be detected based on known or to be known facial recognition technology. These inferences enable relationship determinations regarding whether the people are family members, friends, acquaintances or merely strangers who happen to be in the same place at the same time. The disclosed detection of such relationships enables the building of intelligent image management systems. Furthermore, based on the detected social relationships, advertisements can be served not solely to a single person, but to multiple people within the scope of the social relationship
Abstract translation: 公开了一种用于从消费者图像集合自动检测社会关系的系统和方法。 所公开的系统和方法提供了推断人之间的关系的能力，从而创建出现在数字图像中出现的人的动态社交网络。 可以基于已知或已知的面部识别技术来检测图片中的人的出现。 这些推论能够确定人们是否是家庭成员，朋友，熟人，或者只是同时处于同一地点的陌生人。 披露的这种关系的检测使得能够构建智能图像管理系统。 此外，根据检测到的社会关系，广告不仅可以服务于一个人，而且可以在社会关系范围内的多个人
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公开(公告)号：US20170300576A1
公开(公告)日：2017-10-19
申请号：US15097658
申请日：2016-04-13
Applicant: YAHOO! INC.
Inventor： Simon Osindero , Ioannis Kalantidis , David Shamma , Lyndon Kennedy , Ayman Farahat , Gerry Pesavento , Ricardo Baeza-Yates
CPC classification number: G06F16/9535 , G06F16/50 , H04L67/10
Abstract: Disclosure includes system, method and architecture for selecting supplemental digital content using visual appearance. Digital content that is visually similar, or dissimilar, to digital content requested by a user can he identified and provided for presentation with the requested content. The additional digital content is visually congruent, or visually incongruent, with content requested by a user, such that the additional content is similar, or dissimilar, to the requested content from a visual standpoint. In a presentation of the requested content, the presentation position of each additional content item relative to the presentation position of each requested content can be identified using visual congruence, or visual incongruence.
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4.发明授权公开(公告)号：US09659214B1
公开(公告)日：2017-05-23
申请号：US14953925
申请日：2015-11-30
Applicant: YAHOO! INC.
Inventor： Lyndon Kennedy , Ioannis Kalantidis , David Shamma
CPC classification number: G06K9/00463 , G06F17/30247 , G06F17/30321 , G06F17/30324 , G06K9/00409 , G06K9/00469 , G06K9/00483 , G06K9/00536 , G06K9/4676 , G06K9/6215 , G06K9/6223 , G06K9/6232 , H04N19/94
Abstract: A digital document is represented as a set of codes comprising indices into a feature space comprising a number of subspaces, each code corresponds to one subspace and identifying a cell within the subspace. Each digital document can be represented by a code set, and the code set can be used as selection criteria for identifying a number of digital documents using each digital document's corresponding code set. By way of some non-limiting examples, digital document code sets can be used to identify similar or different digital images, used to identify duplicate or nearly-duplicate digital images, used to identify similar and/or different digital images for inclusion in a recommendation, used to identify and rank digital images in a set of search results.
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