Patents by Inventor Huimei He

Huimei He has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20160277479
    Abstract: An information sending method is provided. The method includes calculating a weight of an interaction setting between a first terminal device and a second terminal device, calculating a relational score based on the weight between the first terminal device and the second terminal device, the second terminal device being one or more second terminal devices, calculating a service index of the first terminal device based on the relational score, and sending information to the first terminal device based on the service index.
    Type: Application
    Filed: March 17, 2016
    Publication date: September 22, 2016
    Inventors: Huimei HE, Fengwei WANG, Dijun HE
  • Publication number: 20160042355
    Abstract: A method and an apparatus for identifying a transaction risk are disclosed. The method includes obtaining risk identification information of a sub-network to which a node relating to a transaction to be identified belongs; and identifying a risk of the transaction to be identified based on the risk identification information of the sub-network to which the node relating to the transaction to be identified belongs, wherein the sub-network is a network acquired by partitioning a relationship network based on connectivity, the relationship network is a network built up with entities and activities relating to a plurality of transactions.
    Type: Application
    Filed: August 5, 2015
    Publication date: February 11, 2016
    Inventors: Fengwei Wang, Huimei He, Dijun He, Renxin Mao
  • Publication number: 20150213111
    Abstract: Social network behavior data of two network subjects whose social relationship type is required to be determined is obtained. The network social behavior data of the two network subjects to be determined is discretized by a preset manner in such a way that each of the social behavior is discretized into N levels according to a quantity of each social network behavior. A merged probability of each social relationship type to which the two network subjects belong is calculated according to a conditional probability that each level of network social behavior corresponds to each social relationship type. A social relationship type having the largest merged probability is initially determined as a social relationship type of the two network subjects. The present techniques effectively utilized network social behavior data, implement determination of social relationship type, and improve user network experiences.
    Type: Application
    Filed: January 26, 2015
    Publication date: July 30, 2015
    Inventor: Huimei He
  • Publication number: 20150161604
    Abstract: Determining a transaction target identifier is disclosed, including: receiving an activation request from a client device, wherein the activation request includes one or more of the following: a requestor identifier, time information associated with the activation request, and location information associated with the activation request; determining a set of candidate transaction target identifiers based at least in part on the one or more of the following: the requestor identifier, the time information associated with the activation request, and the location information associated with the activation request; sending the set of candidate transaction target identifiers to the client device; receiving a selection associated with a transaction target identifier from the set of candidate transaction target identifiers from the client device; and processing the activation request based at least in part on the selected transaction target identifier.
    Type: Application
    Filed: November 25, 2014
    Publication date: June 11, 2015
    Inventors: Yihua He, Hong Deng, Huimei He, Hao Zhang, Lei Pang, Gang Li, Xingliang Liu, Dijun He