Daniel P Ramirez

US Patent:

20180203932, Jul 19, 2018

Filed:

Jan 18, 2017

Appl. No.:

15/408658

Inventors:

- Armonk NY, US
Janani Janakiraman - Austin TX, US
Nadiya Kochura - Bolton MA, US
Fang Lu - Billerica MA, US
Daniel Ramirez - Rochester MN, US

International Classification:

G06F 17/30

Abstract:

Embodiments include methods, systems and computer program products for enhanced information retrieval using associated terms. In some embodiments, a request for content may be received from a user of a user device. A term association model associated with the term may be obtained. The term association model is a statistical language model. A plurality of content items may be obtained using data from the request for content. A ranking of the plurality of content items may be generated using a user-specific term association framework generated using the term association model. Presentation of the ranking of the plurality of content items to the user of the user device may be facilitated.

US Patent:

20180121404, May 3, 2018

Filed:

Nov 2, 2016

Appl. No.:

15/341698

Inventors:

- Armonk NY, US
Janani Janakiraman - Austin TX, US
Nadiya Kochura - Bolton MA, US
Fang Lu - Billerica MA, US
Daniel Ramirez - Rochester MN, US

International Classification:

G06F 17/24
G06F 17/27
G06F 3/0481

Abstract:

A tool is provided for document or design code completion. The tool includes a storage element in which common and user-specific unfinished work indicators are stored in first and second databases, respectively, a search element and a processor. The search element is disposed to identify unfinished work in documents by searching for matches of first text within the documents with second text of the common and user-specific work indicators in the first and second databases. The processor is configured to create a third database including the second text and pertinent sections of the documents. The pertinent sections are respectively associated with the second text and verifiably marked as unfinished by natural language processing of the first and second text by the processor. The processor is further configured to update the first and second databases based on results of the natural language processing.