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Alpha K Luk

from San Jose, CA
Age ~54
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Also known as:
Alpha Kamchiu Luk, Alpha K Luc, Alpha K Lux, C Hiu Luk
Phone and address:
1707 Clovis Ave, San Jose, CA 95124
(408) 979-9070
Related to:
Idy Kwongsze Yau, 54Queenie H Yau, 48
Connected to:
Alice W Luk, 86Angela Luk, 66Bryant G Luk, 42Calvin Luk, 38Cody Luk, 30Dorothy C Luk, 41Fu S Luk, 36Gary Luk, 43Gregory Luk, 43Janice L Luk, 60

Alpha Luk Phones & Addresses

  • 1707 Clovis Ave, San Jose, CA 95124 (408) 979-9070
  • Clovis Ave, San Jose, CA 95124
  • Santa Clara, CA
  • 1707 Clovis Ave, San Jose, CA 95124

Work

Company: Sap business objects Nov 2004 Position: Software architect

Education

Degree: PhD School / High School: Macquarie University Specialities: Computational Linguistics

Skills

Natural Language Processing • Machine Learning • Business Objects • Information Retrieval • Scalability • Big Data • Software Development • Data Mining • Hadoop • Text Mining • Agile Methodologies • Software Engineering • Search • Algorithms • Product Management • Data Analysis • E Commerce • Project Management • Cross Functional Team Leadership

Ranks

Certificate: Cloudera Certified Hadoop Developer

Industries

Information Technology And Services

Resumes

Resumes

Alpha Luk Photo 1

Lead Product Manager

Location:
3000 west 1 Payment Way, Chandler, AZ
Industry:
Information Technology And Services
Work:
SAP Business Objects since Nov 2004
Software Architect
Inxight Software since Nov 2004
Staff Scientist
Verity May 2000 - Nov 2004
Software Architect
Mindmaker, Inc Jan 1998 - May 2000
A.I. Engineer
Education:
Macquarie University
PhD, Computational Linguistics University of Sydney
BSc (Hons), Computer Science
Skills:
Natural Language Processing
Machine Learning
Business Objects
Information Retrieval
Scalability
Big Data
Software Development
Data Mining
Hadoop
Text Mining
Agile Methodologies
Software Engineering
Search
Algorithms
Product Management
Data Analysis
E Commerce
Project Management
Cross Functional Team Leadership
Certifications:
Cloudera Certified Hadoop Developer

Business Records

Name / Title
Company / Classification
Phones & Addresses
Alpha Kamchiu Luk
President
DIVVYNET, INC
1707 Clovis Ave, San Jose, CA 95124

Publications

Us Patents

Method And System For Naming A Cluster Of Words And Phrases

US Patent:
7031909, Apr 18, 2006
Filed:
Mar 12, 2002
Appl. No.:
10/096048
Inventors:
Jianchang Mao - San Jose CA, US
Sumit Taank - Austin TX, US
Christina Chung - Sunnyvale CA, US
Alpha Luk - San Jose CA, US
Assignee:
Verity, Inc. - Sunnyvale CA
International Classification:
G06F 17/20
G06F 17/28
US Classification:
704 9, 707 3, 715532
Abstract:
The present invention provides a method, system and computer program for naming a cluster, or a hierarchy of clusters, of words and phrases that have been extracted from a set of documents. The invention takes these clusters as the input and generates appropriate labels for the clusters using a lexical database. Naming involves first finding out all possible word senses for all the words in the cluster, using the lexical database; and then augmenting each word sense with words that are semantically similar to that word sense to form respective definition vectors. Thereafter, word sense disambiguation is done to find out the most relevant sense for each word. Definition vectors are clustered into groups. Each group represents a concept. These concepts are thereafter ranked based on their support.

System And Method For Automatically Discovering A Hierarchy Of Concepts From A Corpus Of Documents

US Patent:
7085771, Aug 1, 2006
Filed:
May 17, 2002
Appl. No.:
10/150795
Inventors:
Christina Yip Chung - Sunnyvale CA, US
Jinhui Liu - Sunnyvale CA, US
Alpha Luk - San Jose CA, US
Jianchang Mao - San Jose CA, US
Sumit Taank - Austin TX, US
Vamsi Vutukuru - Austin TX, US
Assignee:
Verity, Inc - Sunnyvale CA
International Classification:
L06F 17/30
US Classification:
707102, 707 7
Abstract:
The invention is a method, system and computer program for automatically discovering concepts from a corpus of documents and automatically generating a labeled concept hierarchy. The method involves extraction of signatures from the corpus of documents. The similarity between signatures is computed using a statistical measure. The frequency distribution of signatures is refined to alleviate any inaccuracy in the similarity measure. The signatures are also disambiguated to address the polysemy problem. The similarity measure is recomputed based on the refined frequency distribution and disambiguated signatures. The recomputed similarity measure reflects actual similarity between signatures. The recomputed similarity measure is then used for clustering related signatures. The signatures are clustered to generate concepts and concepts are arranged in a concept hierarchy. The concept hierarchy automatically generates query for a particular concept and retrieves relevant documents associated with the concept.

System And Method Of Machine-Aided Information Extraction Rule Development

US Patent:
8165987, Apr 24, 2012
Filed:
Mar 27, 2009
Appl. No.:
12/413370
Inventors:
Alpha Kamchiu Luk - San Jose CA, US
Assignee:
Business Objects S.A. - Levallois-Perret
International Classification:
G06F 7/00
G06F 17/00
US Classification:
707602
Abstract:
An automatic rule generation system generates rules for fact extraction. A rule generation module receives a sample and generates a rule from the sample. A rule relaxation module generates a relaxed rule from the rule. A rule testing module generates a reverse index from a corpus, applies the relaxed rule to the reverse index, and generates text segments. An information extraction module generates modified text segments from the relaxed rule and the text segments. A candidate suggestion module performs a candidate generation process: if the candidate generation process generates no candidates, the candidate suggestion module signals the rule relaxation module to generate a further relaxed rule to use as the relaxed rule. A user evaluates a candidate and provides the candidate as an additional sample for the automatic rule generation system to generate another rule to use as the rule. As a result of performing these actions iteratively, the rule is eventually generated and relaxed to result in an appropriate rule to use for fact extraction.

Methods And Systems For A Closet Match Search

US Patent:
8341160, Dec 25, 2012
Filed:
Oct 23, 2009
Appl. No.:
12/605225
Inventors:
Alpha Kamchiu Luk - San Jose CA, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 7/00
US Classification:
707741, 707748, 707706
Abstract:
A system to generate an index for a closest match search is described. The system receives a corpus of information that includes member information. The system parses the member information to generate signatures for each of the members and stores the signatures in the index. The signatures are unique to the members. Accordingly, the signatures signify the respective members. The system subsequently utilizes the index to identify input information that matches signatures in the index to identify a closest match of the input information to one or more members in the corpus information.

Method And Apparatus For Determining Classifier Features With Minimal Supervision

US Patent:
20030045951, Mar 6, 2003
Filed:
Aug 27, 2001
Appl. No.:
09/940365
Inventors:
Alpha Luk - San Jose CA, US
International Classification:
G06J001/00
G06N003/06
G06N003/063
G06N003/067
G06F015/18
G05B019/42
G05B013/02
US Classification:
700/086000, 700/047000
Abstract:
A method of identifying features for a classifier includes identifying a set of elements that share a common characteristic, and then identifying a subset of elements within that set which share a second characteristic. Features are then selected that are more commonly possessed by the elements in the subset than the elements in the set but excluding the subset, and that are more commonly possessed by the elements in the set but excluding the subset, as compared to the elements outside the set. A further method of identifying features for a classifier includes defining a list of features, selecting a first feature from that list, identifying a set of elements that possess that first feature, and then identifying a subset of elements within that set which possess any other feature. A feature is then selected that is more commonly possessed by the elements in the subset than the elements in the set but excluding the subset, and that is more commonly possessed by the elements in the set but excluding the subset, as compared to the elements outside the set. If this feature is not already in the list of features, it is added to it. Another feature that has not already been selected is chosen from the list, and the process is repeated using this feature. This continues until every feature in the list of features has been selected.

Methods And Systems For A Closest Match Search

US Patent:
20130080442, Mar 28, 2013
Filed:
Nov 20, 2012
Appl. No.:
13/682363
Inventors:
Alpha Kamchiu Luk - San Jose CA, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 17/30
US Classification:
707741
Abstract:
A system to generate an index for a closest match search is described. The system receives a corpus of information that includes member information. The system parses the member information to generate signatures for each of the members and stores the signatures in the index. The signatures are unique to the members. Accordingly, the signatures signify the respective members. The system subsequently utilizes the index to identify input information that matches signatures in the index to identify a closest match of the input information to one or more members in the corpus of information.

Message Timing Optimization

US Patent:
20220309564, Sep 29, 2022
Filed:
Mar 23, 2021
Appl. No.:
17/209387
Inventors:
- San Jose CA, US
Alpha Kamchiu Luk - San Jose CA, US
International Classification:
G06Q 30/06
G06N 20/00
H04L 12/58
Abstract:
Disclosed are systems, methods, and non-transitory computer-readable media for message timing optimization. A message timing optimization system determines optimized times to transmit messages to users based on historical transaction data. For example, the message timing optimization system may determine an optimal time to transmit a recommendation message to a user to perform a subsequent, such as repurchasing an item, refreshing a password, and the like. The message timing optimization system uses historical transaction data describing previous transactions performed by the user and/or other users to determine probability values indicating the likelihood that a user will perform a subsequent action at various time periods after the user performed an initial transaction.

Personalized Product Review System

US Patent:
20200372553, Nov 26, 2020
Filed:
May 23, 2019
Appl. No.:
16/420953
Inventors:
- San Jose CA, US
Alpha Kamchiu Luk - San Jose CA, US
International Classification:
G06Q 30/02
G06F 16/9535
Abstract:
Systems, devices, media and methods are presented for generalized a personalized product review sort within an online marketplace. In one example, a system receives from a client device associated with a first user, a request to view an online listing. The system accesses a set of reviews associated with an online listing. The system determines the relevance of each review in the set of reviews based on a correlation between a first user and a second user. The system determines an adjusted rating associated with the online listing and presents the adjusted rating in a graphical user interface of the client device.
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Alpha K Luk from San Jose, CA, age ~54 Get Report