Christopher E Potts

US Patent:

20180314729, Nov 1, 2018

Filed:

Oct 27, 2017

Appl. No.:

15/796597

Inventors:

- San Mateo CA, US
Ben Peloquin - San Francisco CA, US
Christopher Potts - Palo Alto CA, US
Tharun Paul - Bangalore, IN

International Classification:

G06F 17/30

Abstract:

In various example embodiments, a system and methods are presented for converting query structures for information retrieval from graph-based data structures. The systems and methods receive a natural language query including a set of terms and generate an intermediate semantic relationship of the set of terms of the natural language query. The systems and methods generate a graph query including graph terms corresponding to the set of terms of the natural language query defined by a graph database. The systems and methods search one or more datasets associated with the graph database using the graph query and return a set of results based on the graph query.

US Patent:

20170270418, Sep 21, 2017

Filed:

Mar 15, 2016

Appl. No.:

15/070267

Inventors:

- San Francisco CA, US
Atul Suklikar - San Francisco CA, US
Andrew Maas - San Francisco CA, US
Christopher Potts - San Francisco CA, US

International Classification:

G06N 7/00
G06F 3/0484

Abstract:

In various example embodiments, a system and methods are presented for generation and manipulation of predictive models within a user interface. The system and methods receive a view query with object data and time data and generate a user interface having a first graphical representation of a set of historical data responsive to the view query. The systems and methods generate a predictive model based on the set of historical data and generate a second graphical representation for the predictive model. The systems and methods generate and monitor a movable pivot element to automatically modify the predictive model and second graphical representation upon a change in position of the pivot element.