Paul H Ko

US Patent:

20190303773, Oct 3, 2019

Filed:

Mar 30, 2018

Appl. No.:

15/941236

Inventors:

- Redmond WA, US
Shen Huang - San Jose CA, US
Yu Wang - Sunnyvale CA, US
Yongzheng Zhang - San Jose CA, US
Paul Ko - San Francisco CA, US
Shady Elasra - San Francisco CA, US
Fanbin Bu - Fremont CA, US

International Classification:

G06N 5/04
G06N 99/00

Abstract:

Techniques are provided for predicting talent flow to and/or from a geographical region. In one technique, multiple entity profiles are stored and analyzed to generate training data that is labeled indicating whether a corresponding entity has moved to or moved from a region. A machine-learned prediction model is generated or trained based on the training data. Using the machine-learned prediction model, a prediction is made whether, for each entity corresponding to another entity profile, that entity will move to or move from a particular geographic region. Based on multiple predictions, a number of entities that are predicted to move to or move from the particular geographic region is determined. Talent flow data that is based on the number of entities is presented on a computer display.

US Patent:

20170308913, Oct 26, 2017

Filed:

Apr 21, 2016

Appl. No.:

15/135371

Inventors:

- Mountain View CA, US
Derek Koh - Sunnyvale CA, US
Paul Ko - San Francisco CA, US
Lindsey Bly - San Francisco CA, US
Wenjing Zhang - Menlo Park CA, US
Clay Blanchard - Danville CA, US
Carson Moore - San Francisco CA, US
Michael Derezin - Alamo CA, US

International Classification:

G06Q 30/02
G06F 17/30
G06F 17/30
G06Q 50/00

Abstract:

Techniques are provided for displaying information about entities in a social network. An analysis of profiles of multiple representatives is performed. Each representative is registered with a social network provider and represents an organization from multiple organizations. Based on the analysis, the organizations are ranked. Data about a subset of the organizations is presented, based on the ranking, through a user interface. A user selects an indicator that is associated with a particular organization of the multiple organizations. In response to the input, a subset of the representatives is identified. One or more scores that were generated for a particular representative in the subset are determined. Data about the subset of the representatives is caused to be presented through the user interface. The data identifies the one or more scores and associates the one or more scores with the particular representative.

US Patent:

20160267497, Sep 15, 2016

Filed:

Mar 11, 2015

Appl. No.:

14/644827

Inventors:

- Mountain View CA, US
Paul Hyunwoo Ko - San Francisco CA, US
Valter Ernesto Sciarrillo - San Francisco CA, US

International Classification:

G06Q 30/02
G06Q 50/00

Abstract:

System and methods for evaluating an organizations content marketing efforts using large data sets available through social networks are disclosed. A social networking system stores organization data for a plurality of organizations in a database located at a social networking system. The social networking system receives a content marketing score request from a first organization in the plurality of organizations. The social networking system retrieves organization data for the first organization and one or more other organizations. The social networking server determines one or more peer organizations based on the organization data retrieved from the database located at the social networking system. The social networking server then automatically generates content marketing scores for the first organization and the one or more peer organizations and transmits the content marketing scores for the first organization and the one or more peer organizations to a computer system associated with the first organization.

US Patent:

20160241447, Aug 18, 2016

Filed:

Feb 13, 2015

Appl. No.:

14/622347

Inventors:

- Mountain View CA, US
Haipeng Li - Mountain View CA, US
Paul Hyunwoo Ko - San Francisco CA, US

International Classification:

H04L 12/24
G06F 3/0484
H04L 29/08

Abstract:

A system and method for content spread visualization includes obtaining activity data related to a content item of the social network, the activity data related to interactions by members of the social network with the content item. A processor generates the visualization based on the activity data, the visualization including indicia arranged in hierarchical branches, the branches extending radially from a primary indicia of the indicia, each of the indicia individually corresponding to one of the activity data and connected to at least one other one of the indicia with a couple based on a relationship between the corresponding ones of the activity data. The processor causes a user interface to display the visualization.

US Patent:

20160224675, Aug 4, 2016

Filed:

May 14, 2015

Appl. No.:

14/712213

Inventors:

- Mountain View CA, US
Paul Hyunwoo Ko - San Francisco CA, US
Ying Liu - Palo Alto CA, US
Mariah E. Walton - Sunnyvale CA, US
Valter Ernesto Sciarrillo - San Francisco CA, US
Ho Joon Park - Cupertino CA, US

International Classification:

G06F 17/30
H04L 29/08

Abstract:

A system and method includes an electronic data storage device to store activity data and profile data of members of a social network including content items individually associated with a content item topic. A processor may obtain the activity data and the profile data, determine an association of the social network topic with at least one of a plurality of social network genres based on the activity data, wherein individual ones of the social network genres are based, at least in part, on a category of the profile data. The processor may store the association of the social network topic with the at one of the plurality of social network genres, and cause a user interface to display information related to the content item topic based, at least in part, on the activity data associated with content items associated with the content item type.

US Patent:

20160210327, Jul 21, 2016

Filed:

Jan 21, 2015

Appl. No.:

14/601377

Inventors:

- Mountain View CA, US
Swaminath Veeramani - Fremont CA, US
Paul Hyunwoo Ko - San Francisco CA, US

International Classification:

G06F 17/30

Abstract:

Generally discussed herein are methods, systems, and apparatuses for retrieving analytics data or other data from a plurality of data sources. In one or more embodiments, a method can include receiving from a client a request to retrieve analytics data, and in response to receiving the request automatically issuing a first query for analytics data from a first data source, the first query in a first format; and automatically issuing a second query for data from a second data source different from the first data source, the second query in a second format different from the first format. The method can include providing the analytics data and the data.

US Patent:

20150120680, Apr 30, 2015

Filed:

Oct 24, 2013

Appl. No.:

14/062307

Inventors:

- Redmond WA, US
Kartikay Khandelwal - Los Altos CA, US
Mohamed Mansour - Mountain View CA, US
Paul Ko - Mountain View CA, US
Nina Mishra - Pleasanton CA, US
Krishnaram Kenthapadi - Sunnyvale CA, US
Abhimanyu Das - Sunnyvale CA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/30

US Classification:

707692, 707722

Abstract:

One or more techniques and/or systems are provided for providing a discussion summary corresponding to a search query and/or for providing discussion session search results. For example, discussion data (e.g., corresponding to real-time messaging, such as a microblog discussion) may be evaluated to identify a discussion topic for a discussion sessions (e.g., a kitchen renovation topic may be assigned to a 1 hour exchange of kitchen renovation messages by a discussion group). A discussion summary of a discussion session may be provided based upon the discussion session having a discussion topic corresponding to a search query topic of a search query. The discussion summary may be provided along with other results for the query and may describe the discussion group, identifiers such as hashtags used by the discussion group, meeting dates/times, average number(s) of participants, other discussion sessions hosted by the discussion group, future discussion sessions, and/or other information.