Microsoft Technology Licensing, LLC

Facebook, Inc.

Verizon Patent and Licensing Inc.

Li Yang

Andrea Vaccari

Yongzheng Zhang

Peter Henry Martinazzi

Lei Guang

Jennifer A Burge

Richard Kenneth Zadorozny

Jeremy Harrison Goldberg

Kaiyu Yang

Xu Zhang

Dongmei Zhang

Ashok N Srivastava

Shen Huang

Zhangwei Xu

Qingwei Lin

Hai Shao

Liqun Li

Xiaofeng Gao

Bing Wang

Zhengming Xing

Balamurugan Kuthanoor

Clayton Sanford

Yu Kang

Rulei Yu

Pu Zhao

Jian Sun

Bo Qiao

Pochian Lee

According to implementations of the subject matter described herein, there is provided a solution of providing a health index of a service. In this solution, a plurality of incident information sets associated with a plurality of services are obtained. The plurality of services are provisioned in a computing environment. An incident information set indicates at least one incident reported during operation of a service. Respective health indices are determined for the plurality of services based on respective ones of the plurality of incident information sets and a health classification policy. The respective health indices indicate respective health statuses of the plurality of services and being determined from a same health index range. Through unified use of incident information, the determined health indices can indicate universal and consistent health statuses for different services.

Health index of a service

An embodiment of the disclosed technologies includes extracting, from an online connection network, digital data comprising target profile data and current profile data; where the target profile data is associated with an online submission process that has a plurality of possible outcomes and is executable via the online connection network; where the current profile data is associated with a member node of the online connection network; using an active learning process, in response to the current profile data, identifying attribute data that is in the target profile data but is not in the current profile data and is predicted to have a relationship with a positive outcome of the online submission process; outputting the attribute data for use by a downstream process or an automated digital assistant to determine a digital resource to associate with the member node through the online connection network or through an online learning system.

Using outcome-targeted gap predictions to identify a digital resource

This disclosure is directed to enabling access to a game instance through a messenger application. A client-side player component facilitates communication between a game instance on the client device and a backend server of a social networking system. The communication information can be stored in or retrieved from a social graph of the social networking system. The game instance can be initialized from a social platform of the social networking system, and the game can be played without leaving the messenger application.

Managing game sessions in a social network messaging system

A spammer profile detector uses multi-stage machine learning approach, where a content-based machine learning model, a connection graph machine learning model, and a behavior-based machine learning model are used sequentially, each model generating a score indicating the likelihood that a profile is a spammer profile. The content-based machine learning model examines and evaluates information stored in a member profile. The connection graph machine learning model examines and evaluates a member's connections. The behavior-based machine learning model examines and evaluates activities of a member represented by a member profile. The score produced by the spammer profile detector can be used to determine whether the profile should be flagged as a spammer profile, whether the profile should be omitted when determining a count of the total number of active member profiles within the system, whether the profile should be restricted or removed from the system, etc.

Identifying spammer profiles

A method and device may estimate the accuracy of position data using kernel density estimator. The method may include receiving, from a plurality of user devices, network requests having embedded position data representing locations of the plurality of user devices. The method further includes extracting, from the network requests over a time period, the embedded position data of a user device associated with the plurality of user devices; and receiving baseline position data representing the locations of the user device over the time period. The method included generating a probability density estimate of the locations of the user device based on a kernel density estimator using the baseline position data, determining accuracy scores for the embedded position data using the probability density estimate of the locations, and filtering the embedded position data to remove outliers from the embedded position data.

Accuracy estimation and enhancement of position data using kernel density estimation

In one embodiment, a computer system receives registration information for available services provided by a service provider. The registration information includes information identifying functionality provided by the available services, and the registration information is used to register the available services with the intermediary service. The computer system receives a service request from a client computer system identifying a function that is to be performed by at least one of the available services registered at the intermediary service. The computer system determines which of the registered available services is configured to provide the functionality requested by the client and processes the received service request using various system functionality components, so that the service request is configured for service-specific processing provided by a registered available service. The computer system also sends the processed service request to the registered service determined to be configured to provide the functionality requested by the client.

Service facade design and implementation

A computer system receives registration information from a service provider registering web services with the dynamic web service configuration store. The registration information indicates a mapping of which web service components are to be used with corresponding user requests. The computer system receives a request from a user requesting a portion of web service functionality and provides the web service functionality using the web service component indicated in the mapping. The computer system receives an indication from the service provider that various web service components are to be updated, where the indication includes updated web service component portions. The computer system also dynamically updates the web service component, so that subsequent user requests for the same portion of web service functionality are processed using the updated web service component.

Dynamic web service deployment and integration

Growing community of inventors

Palo Alto, CA, United States of America

Li Yang