Qi Yu Phones & Addresses
-
Brooklyn, NY
Publications
Us Patents
Customer Profile Learning Based On Semi-Supervised Recurrent Neural Network Using Partially Labeled Sequence Data
View pageUS Patent:
20170293836, Oct 12, 2017
Filed:
Apr 11, 2016
Appl. No.:
15/095916
Inventors:
- Armonk NY, US
Anshul Sheopuri - Teaneck NJ, US
Jinfeng Yi - Ossining NY, US
Qi Yu - Los Angeles CA, US
Anshul Sheopuri - Teaneck NJ, US
Jinfeng Yi - Ossining NY, US
Qi Yu - Los Angeles CA, US
International Classification:
G06N 3/08
G06N 3/04
G06N 3/04
Abstract:
A method and system are provided. The method includes receiving by a computer having a processor and a memory, sequence data that includes labeled data and unlabeled data. The method further includes generating, by the computer having the processor and the memory, a recurrent neural network model of the sequence data, the recurrent neural network model having a recurrent layer and an aggregate layer. The recurrent neural network model feeds sequences generated from the recurrent layer into the aggregate layer for aggregation, stores temporal dependencies in the sequence data, and generates labels for at least some of the unlabeled data.
Feature Learning On Customer Journey Using Categorical Sequence Data
View pageUS Patent:
20170293919, Oct 12, 2017
Filed:
Apr 11, 2016
Appl. No.:
15/095850
Inventors:
- Armonk NY, US
Anshul Sheopuri - Teaneck NJ, US
Jinfeng Yi - Ossining NY, US
Qi Yu - Los Angeles CA, US
Anshul Sheopuri - Teaneck NJ, US
Jinfeng Yi - Ossining NY, US
Qi Yu - Los Angeles CA, US
International Classification:
G06Q 30/02
G06N 5/02
G06N 99/00
G06N 5/02
G06N 99/00
Abstract:
A method and system are provided. The method includes converting, by a computer having a processor and a memory, categorical sequence data for a customer journey into a numerical similarity matrix. The method further includes learning, by the computer, features of the customer journey by applying a distance metric learning based matrix factorization approach to the numerical similarity matrix.
Location Context Inference Based On User Mobile Data With Uncertainty
View pageUS Patent:
20170272908, Sep 21, 2017
Filed:
May 31, 2017
Appl. No.:
15/610235
Inventors:
- Armonk NY, US
Anshul Sheopuri - Teaneck NJ, US
Jinfeng Yi - Ossining NY, US
Qi Yu - Los Angeles CA, US
Anshul Sheopuri - Teaneck NJ, US
Jinfeng Yi - Ossining NY, US
Qi Yu - Los Angeles CA, US
International Classification:
H04W 4/02
H04W 64/00
H04M 1/725
H04W 4/08
H04W 64/00
H04M 1/725
H04W 4/08
Abstract:
Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.