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    AUTOMATIC ANOMALY DETECTION FRAMEWORK FOR GRID RESOURCES
    631.
    发明申请
    AUTOMATIC ANOMALY DETECTION FRAMEWORK FOR GRID RESOURCES 审中-公开

    公开(公告)号：US20170118099A1

    公开(公告)日：2017-04-27

    申请号：US14923033

    申请日：2015-10-26

    Applicant: Yahoo! Inc.

    Inventor： Zicheng Huang

    IPC: H04L12/26

    Abstract: In one embodiment, a workflow data structure may be generated, updated, or obtained. The workflow data structure may represent system processes, relationships among the system processes, data input to the system processes, data generated by the system processes, and estimated running times associated with the system processes, wherein the data generated by the system processes includes a plurality of metrics. A scheduling map may be generated or updated based, at least in part, on the relationships among the system processes and the estimated running times associated with the system processes, where the scheduling map indicates estimated times at which the metrics are anticipated to be available. The metrics may be monitored based, at least in part, on the scheduling map. Anomalies may be detected according to a result of monitoring the metrics.

    USER INTERFACE GENERATION
    633.
    发明申请
    USER INTERFACE GENERATION 审中-公开

    公开(公告)号：US20170109002A1

    公开(公告)日：2017-04-20

    申请号：US14883900

    申请日：2015-10-15

    Applicant: Yahoo!, Inc.

    Inventor： Amol Ghanekar ,  John Peng ,  Bharadhwaj Narayanan ,  David Brandon Miller ,  Arun Krishnankutty Autuchirayll

    IPC: G06F3/0483 ,  G06F3/0482 ,  G06F3/0484 ,  G06F17/30

    CPC classification number: G06F16/9535

    Abstract: As provided herein, a user of a client device may perform a search to generate a search results webpage. The search results webpage may be populated with links to webpages along with selection options used to selectively designate which webpages to open. The user may select one or more of the selection options, such as a first selection option for a first webpage and a third selection option for a third webpage. Accordingly, the first webpage may be presented within a first user interface tab and the third webpage may be presented within a second user interface tab (e.g., the first user interface tab may be presented within a foreground and the second user interface tab may be presented within a background based upon the user selecting the first selection option before the second selection option). In this way, the user may selectively open webpages within user interface tabs.

    SYSTEM AND METHOD FOR CONTEXTUAL MAIL RECOMMENDATIONS
    634.
    发明申请
    SYSTEM AND METHOD FOR CONTEXTUAL MAIL RECOMMENDATIONS 审中-公开

    公开(公告)号：US20170099244A1

    公开(公告)日：2017-04-06

    申请号：US15289637

    申请日：2016-10-10

    Applicant: YAHOO! INC.

    Inventor： Sainath Vellal ,  Naveen Belkale

    IPC: H04L12/58

    CPC classification number: H04L51/12 ,  H04L51/16 ,  H04L51/22

    Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

    SYSTEMS AND METHODS FOR ESTABLISHING AND UTILIZING A HIERARCHICAL BAYESIAN FRAMEWORK FOR AD CLICK THROUGH RATE PREDICTION
    635.
    发明申请
    SYSTEMS AND METHODS FOR ESTABLISHING AND UTILIZING A HIERARCHICAL BAYESIAN FRAMEWORK FOR AD CLICK THROUGH RATE PREDICTION 审中-公开

    公开(公告)号：US20170098240A1

    公开(公告)日：2017-04-06

    申请号：US14874153

    申请日：2015-10-02

    Applicant: Yahoo! Inc.

    Inventor： Hongxia YANG ,  Robert ORMANDI ,  Han-Yun TSAO ,  Quan LU

    IPC: G06Q30/02 ,  G06N7/00

    CPC classification number: G06Q30/0254 ,  G06N7/005

    Abstract: The present disclosure relates to a computer system configured establish and utilize a database for online ad realization prediction in an ad display platform associated with N parties, wherein N is a positive integral greater than 1. The computer system is configured obtain a party hierarchy for each of the N parties including a plurality of features of the party; select a target ad display event including N features, each of the N features corresponding to a node in a party hierarchy; obtain a prior probability reflecting an unconditional probability of ad realization occurrence at the target ad display event among all possible ad display events; for each of the N features: determine a marginal prior probability by decomposing components associated with the other N−1 features from the prior probability; determine a marginal posterior probability based on the marginal prior probability; and save the marginal posterior probability in the corresponding node of the party hierarchy.

    EXPLORATION OF REAL-TIME ADVERTISING DECISIONS
    636.
    发明申请
    EXPLORATION OF REAL-TIME ADVERTISING DECISIONS 审中-公开

    公开(公告)号：US20170098236A1

    公开(公告)日：2017-04-06

    申请号：US14873757

    申请日：2015-10-02

    Applicant: Yahoo! Inc.

    Inventor： Kuang-chih Lee ,  Quan Lu ,  Giovanni Gardelli ,  Donglin Niu

    IPC: G06Q30/02 ,  G06F17/30 ,  G06Q10/06

    CPC classification number: G06Q30/0244 ,  G06Q10/067 ,  G06Q30/0247 ,  G06Q30/0275

    Abstract: Described herein are example systems and operations for enhancing response prediction and bidding decision making. A feature recommendation controller may include a factorization machine that generates a set of combinations of contextual and advertiser features yielding high expected response rates. A bidding controller may implement a multi-arm bandit system that uses Thompson sampling to select an optimal one of the feature combinations that corresponds to a highest expected response rate. The bidding controller may compare the corresponding highest expected response rate with a threshold response rate associated with a pacing rate to determine whether to place a bid for a received ad request.

    METHOD AND SYSTEM FOR ASSOCIATING DATA FROM DIFFERENT SOURCES TO GENERATE A PERSON-CENTRIC SPACE
    638.
    发明申请
    METHOD AND SYSTEM FOR ASSOCIATING DATA FROM DIFFERENT SOURCES TO GENERATE A PERSON-CENTRIC SPACE 审中-公开

    公开(公告)号：US20170097951A1

    公开(公告)日：2017-04-06

    申请号：US14874566

    申请日：2015-10-05

    Applicant: Yahoo! Inc.

    Inventor： Nachiappan Nachiappan ,  Jimmy Phan ,  Amritashwar Lal ,  Su Chan

    IPC: G06F17/30

    CPC classification number: G06F16/2228 ,  G06F16/25

    Abstract: The present teaching relates to associating data from different sources to generate a person-centric space. In one example, information related to a person is received. First data is obtained from a first source private to the person based on the information. One or more types of cross-linking keys are identified from the first data. Second data is obtained from at least one second source based on the one or more types of cross-linking keys. The first data is associated with at least a portion of the second data based, at least in part, on the one or more types of cross-linking keys to generate cross-linked data. The person-centric space is generated based on the cross-linked data.

    AUTOMATIC IMAGE PILING
    639.
    发明申请
    AUTOMATIC IMAGE PILING 审中-公开

    公开(公告)号：US20170091587A1

    公开(公告)日：2017-03-30

    申请号：US15377877

    申请日：2016-12-13

    Applicant: Yahoo! Inc.

    Inventor： Benjamin Jack Culpepper ,  Pierre Garrigues ,  Allison Janoch ,  Huy X. Nguyen

    IPC: G06K9/62 ,  G06K9/46

    Abstract: Methods and systems for classifying images and adding images to piles include determining attributes of an image, classifying the image by determining a set of elements of a hierarchy of which the image is a member based at least in part on the attributes, and adding the image to one or more piles associated with the set of elements of the hierarchy of which the image is a member.

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