Search

Gurpreetsingh B Sachdev

from Fremont, CA
Age ~45
Get Report
Also known as:
Gurpreetsingh A Sachdev, Gurpreetsi B Sachdev, Sachdev Gurpreetsingh, N Sachdev
Phone and address:
507 Bristle Grass Ter, Fremont, CA 94539
Connected to:
Akshay Sachdev, 39Amit Sachdev, 46Angad Sachdev, 40Arun K Sachdev, 53Bhavaya Sachdeva, 38Chander Sachdeva, 72Chhavi Sachdeva, 33Dev Sachdeva, 82Dheeraj Sachdeva, 52Divjyot Sachdev, 49

Gurpreetsingh Sachdev Phones & Addresses

  • 507 Bristle Grass Ter, Fremont, CA 94539
  • Mountain View, CA
  • Goleta, CA
  • Stanford, CA

Work

Company: Thefind.com Mar 2006 Position: Principal engineer

Education

Degree: MS School / High School: University of California, Santa Barbara 2003 to 2004 Specialities: Computer Science

Skills

Information Retrieval • Machine Learning • Distributed Systems • Information Extraction • Data Mining • Scalability • Hadoop • Entrepreneurship • Databases • Algorithms • Big Data • Java • Software Development • Software Engineering • Python • Agile Methodologies • Mapreduce

Interests

Poverty Alleviation • Science and Technology • Education

Industries

Internet

Resumes

Resumes

Gurpreetsingh Sachdev Photo 1

Engineering Leader

View page
Location:
2301 Leghorn St, Mountain View, CA 94043
Industry:
Internet
Work:
TheFind.com since Mar 2006
Principal Engineer
VMware Feb 2005 - Mar 2006
Sr. Software Engineer
Novell Jul 2001 - Aug 2003
Sr. Software Engineer
Sun Microsystems Jan 2001 - Jun 2001
Software Engineer Intern
Education:
University of California, Santa Barbara 2003 - 2004
MS, Computer Science Birla Institute of Technology and Science 1997 - 2001
B.E., Electrical and Electronics
Skills:
Information Retrieval
Machine Learning
Distributed Systems
Information Extraction
Data Mining
Scalability
Hadoop
Entrepreneurship
Databases
Algorithms
Big Data
Java
Software Development
Software Engineering
Python
Agile Methodologies
Mapreduce
Interests:
Poverty Alleviation
Science and Technology
Education

Publications

Us Patents

Product Clustering Algorithm

View page
US Patent:
20180165740, Jun 14, 2018
Filed:
Dec 14, 2016
Appl. No.:
15/378415
Inventors:
- Menlo Park CA, US
Shashikant Khandelwal - Mountain View CA, US
Gurpreetsingh Baljeetsingh Sachdev - Fremont CA, US
Nikhil Gupta - Palo Alto CA, US
International Classification:
G06Q 30/06
G06F 17/30
Abstract:
In one embodiment, a method includes generating a query based on a seed product offer that describes a product being offered for sale and executing the query, using a search engine that normalizes search terms in the query, on a plurality of product offers to determine candidate offers. The candidate offers are likely associated with the product. The method further includes determining one or more common attribute values across corresponding attributes of the candidate offers. The method additionally includes for each attribute value of each candidate offer, scoring the attribute value based on whether it matches one or more of the common attribute values, and updating a set of normalized attribute values for the product to include the attribute value based on whether the score is greater than a predetermined threshold.

Product Page Classification

View page
US Patent:
20170372408, Dec 28, 2017
Filed:
Jun 28, 2016
Appl. No.:
15/195862
Inventors:
- Menlo Park CA, US
Gurpreetsingh Baljeetsingh Sachdev - Fremont CA, US
International Classification:
G06Q 30/06
G06F 17/22
G06F 17/30
G06Q 50/00
Abstract:
In one embodiment, a method includes extracting a document object model (DOM) for a content page. The DOM comprises a hierarchical tree-based data structure. The method also includes traversing the DOM to identify, in the content page, candidate features of a product page. The method further includes for each of the candidate features, determine candidate feature attributes based on a respective context of the candidate feature in the DOM. The method additionally includes determining whether the content page qualifies as a product page based on whether the candidate features fulfill a required set of characteristics for a product page.

Product Listing Recognizer

View page
US Patent:
20170345075, Nov 30, 2017
Filed:
May 27, 2016
Appl. No.:
15/166869
Inventors:
- Menlo Park CA, US
Gurpreetsingh Baljeetsingh Sachdev - Fremont CA, US
Nikhil Gupta - Palo Alto CA, US
International Classification:
G06Q 30/06
G06Q 50/00
G06N 99/00
Abstract:
In one embodiment, a method includes extracting a document object model (DOM) for a content page, wherein the DOM comprises a hierarchical tree-based data structure. The method also includes identifying candidate nodes in the DOM based on a context of the nodes, wherein the candidate nodes may correspond to listing items. The method additionally includes for each of the candidate nodes, locating its parent and child nodes by traversing the DOM from the candidate node, extracting information from the candidate node and its parent and child nodes, and assessing whether the candidate node qualifies as a listing item based on whether the extracted information fulfills a required set of characteristics for a listing item.

Method For Relevancy Ranking Of Products In Online Shopping

View page
US Patent:
20170330262, Nov 16, 2017
Filed:
Aug 2, 2017
Appl. No.:
15/667580
Inventors:
- Menlo Park CA, US
Shashikant Khandelwal - Mountain View CA, US
Nikhil Gupta - Palo Alto CA, US
Gurpreetsingh Sachdev - Mountain View CA, US
International Classification:
G06Q 30/06
G06F 17/30
G06Q 30/02
G06Q 30/06
Abstract:
Systems and methods for ranking one or more products in online shopping. One or more products are identified based on a search query received from user. The one or more products are ranked based on terms present in the search query. Each of the one or more products has one or more attributes associated with it. An attribute score for each of the one or more products is determined. Further, based on the attribute score, the relevancy of the one or more products is determined. Based on the relevancy, a marginal relevancy score for each of the one or more products is determined. The one or more products are re-ranked based on the marginal relevancy score. The rank of the one or more products can also be modified to optimize revenue generation.
Control profile
Gurpreetsingh B Sachdev from Fremont, CA, age ~45 Get Report