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    RANK AGGREGATION BASED ON A MARKOV MODEL
    1.
    发明申请
    RANK AGGREGATION BASED ON A MARKOV MODEL 审中-公开

    公开(公告)号：US20170185672A1

    公开(公告)日：2017-06-29

    申请号：US15325060

    申请日：2014-07-31

    Applicant: Xiaofeng YU ,  Junqing XIE ,  Hewlett Packard Enterprise Development LP

    Inventor： Xiaofeng Yu ,  Jun Qing Xie

    IPC: G06F17/30 ,  G06F17/18

    CPC classification number: G06F16/3346 ,  G06F16/951 ,  G06F17/18

    Abstract: Rank aggregation based on a Markov model is disclosed. One example is a system including a query processor, at least two information retrievers, a Markov model, and an evaluator. The query processor receives a query via a processing system. Each of the at least two information retrievers retrieves a plurality of document categories responsive to the query, each of the plurality of document categories being at least partially ranked. The Markov model generates a Markov process based on the at least partial rankings of the respective plurality of document categories. The evaluator determines, via the processing system, an aggregate ranking for the plurality of document categories, the aggregate ranking based on a probability distribution of the Markov process.

    SOCIAL PREDICTION
    2.
    发明申请
    SOCIAL PREDICTION 审中-公开

    公开(公告)号：US20180336482A1

    公开(公告)日：2018-11-22

    申请号：US15559650

    申请日：2015-04-13

    Applicant: Xiao-Feng YU ,  JunQing XIE ,  HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Xiaofeng Yu ,  Jun Qing Xie

    IPC: G06N5/04 ,  G06N99/00

    CPC classification number: G06Q50/01 ,  G06Q10/04

    Abstract: A device of performing social prediction in a social network may include a processor and a memory. In an example, instructions stored in the memory and executable by the processor may classify connections of user pairs within the social network into weak ties and strong ties according to tie strength of the connections. During the generation of a social network model, a first model may be set for the weak ties, and a second model may be set for the strong ties. The social network model may be trained to obtain model parameters, and social data of a user may be predicted by using the model parameters and the social network model.

    SCALABLE WEB DATA EXTRACTION
    4.
    发明申请
    SCALABLE WEB DATA EXTRACTION 审中-公开

    公开(公告)号：US20170337484A1

    公开(公告)日：2017-11-23

    申请号：US15532982

    申请日：2014-12-12

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Xiaofeng Yu ,  Jun Qing Xie

    IPC: G06N7/00 ,  G06F17/18 ,  G06F17/30

    CPC classification number: G06N7/005 ,  G06F16/254 ,  G06F16/288 ,  G06F16/35 ,  G06F16/951 ,  G06F17/18 ,  G06N20/00

    Abstract: Example embodiments relate to scalable web data extraction. In example embodiments, a joint potential function is defined for data record segments of web data extracted from a web page, where the joint potential function models data record segmentation of the web data and dependencies between pairs of data segments in the data record segments. At this stage, a principal record segment and several related record segments are identified from the data record segments, where each of the plurality of related record segments is associated with the principal record segment. A related attribute is determined for each related record segment. Next, the joint potential function is applied to the principal record segment and each corresponding related segment to determine a relationship label that describes a data relationship between the principal record segment and the corresponding related segment.

    PREDICTING ACCESS POINT AVAILABILITY
    5.
    发明申请
    PREDICTING ACCESS POINT AVAILABILITY 审中-公开

    公开(公告)号：US20170142650A1

    公开(公告)日：2017-05-18

    申请号：US15325458

    申请日：2015-03-09

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Shuai Wang ,  Xiaofeng Yu ,  Jun Qing Xie

    IPC: H04W48/20 ,  H04B17/318 ,  H04B17/373 ,  H04W48/16

    CPC classification number: H04W48/20 ,  H04B17/318 ,  H04B17/373 ,  H04W48/16 ,  H04W48/18

    Abstract: Examples relate to predicting access point availability. In one example, a computing device may: obtain a set of training fingerprints, each training fingerprint specifying, for a client device, an access point to which the client device successfully connected and cellular signal strength for each cellular tower in a set of cellular towers; and for each access point: generate an access point profile for the access point, the access point profile indicating, for each cellular tower in the set of cellular towers specified by a first subset of the set of training fingerprints, a probability that a randomly selected training fingerprint included in the first subset specified a particular cellular signal strength for the cellular tower, wherein each training fingerprint included in the first subset specifies the access point as the access point to which the client device specified by the training fingerprint included in the first subset successfully connected.

    Access point availability prediction
    6.
    发明授权
    Access point availability prediction 有权

    公开(公告)号：US10524195B2

    公开(公告)日：2019-12-31

    申请号：US15579516

    申请日：2015-06-04

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Shuai Wang ,  Xiaofeng Yu ,  Jun Qing Xie

    IPC: H04W48/16 ,  H04W24/10 ,  H04W48/20 ,  H04W72/06 ,  H04W72/08 ,  H04W24/02 ,  H04W36/30

    Abstract: In an example, a set of training fingerprints may be accessed, in which each of the training fingerprints specifies an access point of a plurality of access points to which a mobile device made a successful connection, a relative signal strength of the connection to the access point, and a cellular signal strength of a cellular tower near the mobile device when the successful connection to the access point was made. Level counts of the relative signal strengths of the connections to the access points corresponding to the cellular signal strengths of the cellular tower may be cumulated from the set of training fingerprints. The cumulated level counts of the relative signal strengths of the access points may be ranked.

    Predicting wireless access point availability
    7.
    发明授权
    Predicting wireless access point availability 有权

    公开(公告)号：US10455430B2

    公开(公告)日：2019-10-22

    申请号：US16081002

    申请日：2016-03-10

    Applicant: Hewlett Packard Enterprise Development LP ,  Shuai Wang ,  Jun Qing Xie ,  Xiaofeng Yu

    Inventor： Shuai Wang ,  Jun Qing Xie ,  Xiaofeng Yu

    IPC: H04W16/18 ,  H04W48/16 ,  H04W48/20 ,  H04W24/10

    Abstract: Examples relate to predicting wireless access point availability. In one example, a computing device may: generate, for a wireless access point, a mapping for predicting availability of the wireless access point, the mapping specifying: one or more in-range cellular towers to which at least one client device has been connected while the at least one client device was also connected to the wireless access point; one or more border cellular towers to which at least one client device has been connected to i) subsequent to being connected to one of the one or more in-range cellular towers, and ii) while not connected to the wireless access point; and one or more out-of-range cellular towers to which at least one client device has been connected to i) subsequent to being connected to one of the one or more border cellular lowers, and ii) while not connected to the wireless access point.

    Predicting available access points
    9.
    发明授权
    Predicting available access points 有权

    公开(公告)号：US10820294B2

    公开(公告)日：2020-10-27

    申请号：US15572064

    申请日：2015-03-09

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Shuai Wang ,  Xiaofeng Yu ,  Jun Qing Xie

    IPC: H04W24/00 ,  H04W64/00 ,  G01S5/02 ,  H04B17/318 ,  H04W36/00 ,  H04W8/00 ,  H04W8/02 ,  H04W16/18 ,  H04W24/10 ,  H04W48/16

    Abstract: Examples relate to predicting available access points. In one example, a computing device may: obtain a set of training fingerprints, each training fingerprint specifying, for a client device, i) a set of access points, and ii) cellular signal strength measurements for each cellular tower in a set of cellular towers; generate a plurality of classes based on the set of training fingerprints, each class specifying at least one access point, the access points of each class corresponding to the set of access points specified by at least one training fingerprint, and each combination being different from combinations specified by each other class in the plurality of classes; and train a predictive model to receive, as input, an input fingerprint specifying a cellular signal strength measurement for each cellular tower in a set of input cellular towers and produce, as output, at least one of the plurality of classes.

    Enable access point availability prediction
    10.
    发明授权
    Enable access point availability prediction 有权

    公开(公告)号：US10271218B2

    公开(公告)日：2019-04-23

    申请号：US15579533

    申请日：2015-06-04

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Shuai Wang ,  Jun Qing Xie ,  Xiaofeng Yu

    IPC: G01S5/02 ,  H04L12/24 ,  H04W16/18 ,  H04W48/16 ,  H04W48/20 ,  H04W64/00 ,  H04W88/06 ,  H04W88/08

    Abstract: In an example, a set of training fingerprints may be access, in which each of the training fingerprints may specify an access point of a plurality of access points to which a mobile device made a successful connection and a cellular signal strength of a cellular tower near the client device when the successful connection was made. An interim model may be generated from the accessed set of training fingerprints, in which the interim model may contain a subset of the information in the set of training fingerprints to enable a destination device to generate a prediction model to predict an availability of an access point. The generated interim model may be transferred to the destination device.

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