Microsoft Technology Licensing, LLC

Google Inc.

Ankit Gupta

Haroon Baig

Parinkumar D Shah

Raghu Ram Hiremagalur Venkatesh

Swapnil Ghike

Shaunak Chatterjee

Tariq Sharif

Shipeng Yu

Michael Conover

Yang Chen

Charlie Ricafort Chung

Roshan Rajesh Sumbaly

Curtis Wang

Souvik Ghosh

Timothy Paul Jurka

Jing Wang

John P Moore

Chencheng Wu

Patrick A Chase

Haifeng Zhao

Xiaojing Chen

Claire D McGinty

Shubham Gupta

Haowen Cao

Jiashuo Wang

Changji Shi

Diego Andres Buthay

Vivek Nelamangala

Andrew O Hatch

Aarthi Jayaram

Anant Trivedi

Juan G Grande

Henry Heyburn Pistell

Keyi Yu

Mira Thambireddy

Victoria Carolina Rodriguez

Pingjie Xiao

Sindhura Gangireddy

Alexis Jacqueline Benter

Banu Muthukumar

Chiquita Kerur

Eric Brownrout

Alejandro Jorge Perez

Samuel Stokes

Gregory W Bayer

Akshay D Kothari

To provide personalized data for display on a map, a server device obtains location data for a user and identifies locations that are familiar to the user based on the frequency and recency in which the user visits the locations. The server device then provides the familiar locations in search results/suggestions and annotates the familiar locations with a description of a relationship between the familiar location and the user. The server device also includes the familiar locations as landmarks for performing maneuvers in a set of navigation instructions. Furthermore, the server device provides a familiar location as a frame of reference on a map display when a user selects another location nearby the familiar location. Moreover, the server device includes a familiar location as an intermediate destination when the user request navigation directions to a final destination.

Displaying personalized landmarks in a mapping application

Event workflow management in computing systems are disclosed herein. In one example, a process includes receiving a data package defining an event containing data representing a category corresponding to a type of activity of the event and having a workflow property. The process can then include creating or modifying a backend workflow of the event corresponding to the workflow property of the category and monitoring for the one or more status conditions of the event included in the backend workflow. When the monitoring indicates that the one or more status conditions of the event are satisfied, the one or more actions in the sequence of the backend workflow are executed in relation to the event.

Customizable event management in computing systems

Navigation directions with a familiar location as an intermediate destination

Techniques for a flexible data security and machine learning system for merging third-party data are provided. In one technique, the system receives a data set from a third-party entity and receives selection data that indicates that the third-party entity selected a set of data security policies that includes an encryption option and a data mixing option from among multiple data mixing options. In response to receiving the selection data, the system stores data that associates the set of data security policies with the data set, encrypts the data set according to the encryption option, and persistently stores the encrypted data set. Later, the system decrypts the encrypted data set in volatile memory, generates, based on the data mixing option, training data based on the decrypted version of the data set, trains a machine-learned model based on the training data, and stores the machine-learned model in association with the data set.

Flexible data security and machine learning system for merging third-party data

The disclosed embodiments provide a system for managing data conflation. During operation, the system generates matches between a first set of entities in a first dataset from a first data provider and a second set of entities in a second dataset from a second data provider based on comparisons of fields in the first and second datasets. Next, the system modifies a join query for joining the first and second datasets to include operators representing compliance rules for the first or second datasets. The system executes the modified join query to produce a joined dataset that adheres to the compliance rules and stores data related to the joined dataset within a platform that logically isolates the data from additional datasets. During processing of queries of the data, the system modifies the queries to include additional operators that enforce access control policies for the data.

Compliant entity conflation and access

A meeting assignment conflict, between two meetings, a, is detected, because a meeting organizer is attempting to assign a given conference room to a second meeting, when it is already assigned to a first meeting. It is determined whether a number of participants in the first meeting is small enough to be accommodated by a different conference room. If so, the first meeting is automatically reassigned to the different conference room, and the second meeting is assigned to the given conference room.

Resource conflict detection and communication

A notification platform for distribution of notification content in an on-line social network system, on-line and in near real time, is described. As a new notification is detected in the continuous stream of notifications triggered by time-sensitive events, the near real time notifications distribution system determines member profiles representing potential recipients of the notification by traversing a relationship graph. The relationship graph has nodes representing member profiles, as well as other entities maintained in the on-line social network system. The edges of the relationship graph represent relationships between entities represented by the associated nodes. For each member profile representing a potential recipient of the notification, the near real time notifications distribution system generates a relevance score, which is used to determine whether the notification is to be delivered to the potential recipient.

Near real time notifications distribution platform

The disclosed embodiments provide a system for processing data. During operation, the system stores a set of feed updates associated with a set of entities in descending chronological order within a set of resizable blocks. For each entity in the set of entities, the system generates an index containing one or more lists of resizable blocks storing a subset of the feed updates associated with the entity, wherein the one or more lists are sorted in descending chronological order. The system then uses the index to generate a content feed containing a selection of the feed updates for outputting to a viewer.

Efficient indexing of feed updates for content feeds

The disclosed embodiments provide a system for processing data. During operation, the system obtains one or more metrics associated with user interaction with a set of content items in a member segment of a social network. Next, the system ranks the set of content items by the one or more metrics. The system then generates a content pool for the member segment based on the ranking of the content items. Finally, the system creates a content feed from the content pool for presentation to a user in the member segment.

Segment-based content pools for inclusion in content feeds

Growing community of inventors

Mountain View, CA, United States of America

Ankit Gupta