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公开(公告)号:US20170199932A1
公开(公告)日:2017-07-13
申请号:US15415977
申请日:2017-01-26
Applicant: YAHOO! INC.
Inventor: Maria Renhui ZHANG , Nicholas D'ALOISIO-MONTILLA , Qichu LU
CPC classification number: G06F17/30705 , G06F17/278 , G06F17/30241 , G06F17/30424 , G06F17/3053 , G06F17/30675 , G06F17/30684 , G06F17/30696 , G06F17/30769 , G06F17/30864
Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identity: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.
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公开(公告)号:US09706008B2
公开(公告)日:2017-07-11
申请号:US13836052
申请日:2013-03-15
Applicant: YAHOO! INC.
Inventor: Suju Rajan , Scott Gaffney
CPC classification number: H04L67/306 , H04L67/22
Abstract: Embodiments of the present teachings disclose method, system, and programs that monetize personalized user behavioral profiles by remapping the users to audience segments related to advertisement. In the method, the users can be targeted with advertisements that are personalized and hence are more likely to lead to conversions.
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313.
公开(公告)号:US20170195274A1
公开(公告)日:2017-07-06
申请号:US14985844
申请日:2015-12-31
Applicant: YAHOO! INC.
Inventor: Edo Liberty , Yoelle Maarek
CPC classification number: H04L51/22 , G06F21/10 , G06F21/6245 , H04L51/12 , H04L63/0428 , H04L63/083
Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, generating and/or hosting 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 security and quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide added security features and functionality to messaging platforms. Message content within communicated or to be communicated messages can be subject to such security functionality through the identification of selected message portions having an identifier applied therewith that not only hides the selected message portions from being viewed within a message interface, but also modifies the message thereby rendering the selected message portion as unreadable and/or inaccessible by a user or computing device without the required security credentials.
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公开(公告)号:US20170193336A1
公开(公告)日:2017-07-06
申请号:US15463774
申请日:2017-03-20
Applicant: Yahoo! Inc.
Inventor: Suleyman Cetintas , Kuang-chih Lee , Jia Li
CPC classification number: G06K9/6267 , G06F3/04842 , G06F16/58 , G06K9/00456 , G06K9/00664 , G06K9/4628 , G06K9/6201 , G06K9/626 , G06K9/627 , G06N3/08
Abstract: Briefly, embodiments of methods and/or systems of generating preference indices for contiguous portions of digital images are disclosed. For one embodiment, as an example, parameters of a neural network may be developed to generate object labels for digital images. The developed parameters may be transferred to a neural network utilized to generate signal sample value levels corresponding to preference indices for contiguous portions of digital images.
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公开(公告)号:US20170193057A1
公开(公告)日:2017-07-06
申请号:US14984357
申请日:2015-12-30
Applicant: Yahoo!, Inc.
Inventor: Xing Yi , Zhen Yue , Alyssa Glass Owara , Zhigeng Geng
Abstract: One or more client devices, systems, and/or methods of improving mobile searches are provided. A feature (e.g., “snow boots”), generated on a client device, is identified. The feature is evaluated to identify a goal (e.g., finding snow boots) associated with the feature. A mission (e.g., finding outdoor apparel), associated with the goal, is identified. A query (e.g., “outdoor stores near Akron”) associated with a second goal (e.g., find outdoor apparel store) associated with the mission is identified using a model generated utilizing a machine learning method trained using a query-goal-mission structure. A query recommendation (e.g., “outdoor apparel store”) comprising the query is presented to the user. A user satisfaction metric, associated with the query, the query recommendation, a result generated by the query recommendation, etc. is determined based upon user interaction with the query recommendation and the result. The model may be tuned based upon the user satisfaction metric.
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316.
公开(公告)号:US09699258B2
公开(公告)日:2017-07-04
申请号:US14089590
申请日:2013-11-25
Applicant: YAHOO! INC.
Inventor: Matthew Brezina , Adam Smith , Jeffrey Bonforte
CPC classification number: H04L67/22 , G06F3/048 , G06F3/0481 , G06F3/0482 , G06F3/0484 , G06F3/04842 , G06F17/2247 , G06F17/30528 , G06F17/30554 , G06F17/30722 , G06F17/30905 , H04L51/046 , H04L51/08 , H04L51/16 , H04L51/22 , H04L51/36 , H04L67/306 , H04M15/00 , H04M15/43 , H04M15/44 , H04M15/58 , H04M15/745 , H04M2215/0104 , H04M2215/0108 , H04M2215/0188 , H04W24/08
Abstract: Among other disclosures, a method may include collecting historical communication data and personal data relating to a portion of a plurality of communications, a sender of one or more of the communications or one or more recipients of the communications. The method may include depositing the collected data into a repository of historical communication data and personal data. The method may include presenting one or more items in the repository on a mobile device, in response to user behavior.
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公开(公告)号:US20170185901A1
公开(公告)日:2017-06-29
申请号:US14982997
申请日:2015-12-29
Applicant: Yahoo! Inc.
Inventor: Ayman FARAHAT , Tarun BHATIA
CPC classification number: H04L67/22 , G06F16/00 , G06F16/9535 , G06N5/04 , H04L67/20
Abstract: Systems and methods are provided for building a user model. The system includes a processor and a non-transitory storage medium accessible to the processor. The processor is configured to obtain user data from a database, where the user data include user behavior for a plurality of apps installed on one or more user terminals. The processor selects at least one rating parameters using the user data, where the at least one rating parameters indicates a rating of relevant app usage. The system builds the user model based on a rating matrix comprising the at least one rating parameters.
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公开(公告)号:US09686400B2
公开(公告)日:2017-06-20
申请号:US14564639
申请日:2014-12-09
Applicant: YAHOO! INC.
Inventor: Jean-Baptiste Queru
CPC classification number: H04M1/72577 , B60K35/00 , B60K2350/1004 , B60K2350/1028 , B60W50/14 , H04M1/6091 , H04M1/72569 , H04M2250/10 , H04M2250/12
Abstract: A system and method for driver-aware notification that collects and analyzes contextual information about the driving environment to free a device owner from having to decide whether or not to answer an incoming message.
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319.
公开(公告)号:US09685158B2
公开(公告)日:2017-06-20
申请号:US14634111
申请日:2015-02-27
Applicant: YAHOO! INC.
Inventor: Jeffrey Bonforte
CPC classification number: G10L15/265 , G06Q10/107 , G10L15/26 , G10L15/30 , H04L67/306 , H04M1/7255 , H04M1/72552 , H04M3/4931 , H04M3/533 , H04M3/53333 , H04M2201/40 , H04M2203/2038 , H04M2203/253 , H04M2203/551 , H04W4/21
Abstract: Systems and methods to process and/or present information relating to voice messages for a user that are received from other persons. In one embodiment, a method implemented in a data processing system includes: receiving first data associated with prior communications or activities for the user on a mobile device; receiving a voice message for the user; transcribing the voice message using the first data to provide a transcribed message; and sending the transcribed message to the mobile device for display to the user. In one embodiment, options are displayed for selection by the user to correct a misspelled word in the transcribed message.
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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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