Alan D Halverson

from Verona, WI

Alan Halverson Phones & Addresses

  • Verona, WI
  • Sunnyvale, CA

Work

  • Company:
    Microsoft
    Feb 2016
  • Position:
    Principal scientist manager and lab director

Education

  • Degree:
    Doctorates, Doctor of Philosophy
  • School / High School:
    University of Wisconsin - Madison
    2001 to 2006
  • Specialities:
    Computer Science

Skills

Distributed Systems • Software Design • Software Engineering • Software Development • Algorithms • Machine Learning • Computer Science • Quality Assurance • C++ • C# • Data Mining • Java • Information Retrieval • C

Industries

Computer Software

Resumes

Alan Halverson Photo 1

Principal Scientist Manager And Lab Director

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Location:
Madison, WI
Industry:
Computer Software
Work:
Microsoft
Principal Scientist Manager and Lab Director

Microsoft
Principal Development Lead

Microsoft Aug 2006 - Aug 2008
Researcher

Microsoft Jun 1994 - May 2001
Software Design Engineer
Education:
University of Wisconsin - Madison 2001 - 2006
Doctorates, Doctor of Philosophy, Computer Science
Luther College 1990 - 1994
Bachelors, Bachelor of Arts, Computer Science
Skills:
Distributed Systems
Software Design
Software Engineering
Software Development
Algorithms
Machine Learning
Computer Science
Quality Assurance
C++
C#
Data Mining
Java
Information Retrieval
C

Us Patents

  • Determining Quality Of Communication

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  • US Patent:
    8139495, Mar 20, 2012
  • Filed:
    Sep 13, 2007
  • Appl. No.:
    11/854918
  • Inventors:
    Sreenivas Gollapudi - Cupertino CA, US
    Alan D. Halverson - Sunnyvale CA, US
    Krishnaram G. Kenthapadi - Mountain View CA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    H04L 1/00
    H04J 3/14
    G01R 31/08
    G06F 11/00
    G08C 15/00
  • US Classification:
    370252, 370432
  • Abstract:
    A method, computer-readable medium, and system for providing a quality measurement based on communications within a communication application. Communication attributes that include information associated with a user's communications are obtained. In embodiments, such communication attributes may pertain to communication duration and communication frequency. Upon obtaining communication attributes, a quality measurement may be determined based on the communication attributes. Such a quality measurement provides an indication of the quality of the user's communications. In embodiments, the quality measurement may be stored, communicated to a user, or implemented within a communication application.
  • Search Queries With Shifting Intent

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  • US Patent:
    8219539, Jul 10, 2012
  • Filed:
    Apr 7, 2009
  • Appl. No.:
    12/419363
  • Inventors:
    Alan Dale Halverson - Verona WI, US
    Krishnaram Kenthapadi - Mountain View CA, US
    Nina Mishra - Newark CA, US
    Umar Ali Syed - Philadelphia PA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 7/00
    G06F 17/30
  • US Classification:
    707706, 707746, 707765, 707770
  • Abstract:
    Techniques and systems are disclosed for returning temporally-aware results from an Internet-based search query. To determine if a query is temporally-based one or more query features are collected and input into a trained classifier, yielding a temporal classification for the query. Further, if a query is classified as temporal, the query results are shifted by determining an alternate set of results for the query, and returning one or more alternate results to one or more users. Based on user interactions with the one or more alternate results, the classifier can be updated, for example, by changing the query to a non-temporal query if the user interactions identify it as such.
  • Performing Parallel Joins On Distributed Database Data

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  • US Patent:
    8473483, Jun 25, 2013
  • Filed:
    Jun 7, 2011
  • Appl. No.:
    13/154911
  • Inventors:
    Nikhil Teletia - Madison WI, US
    Alan Dale Halverson - Verona WI, US
    José A. Blakeley - Redmond WA, US
    Milind Madhukar Joshi - Redmond WA, US
    Jose Aguilar Saborit - Dana Point CA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/30
  • US Classification:
    707714, 707764
  • Abstract:
    The present invention extends to methods, systems, and computer program products for performing parallel joins on distributed database data. Embodiments of the invention include a phased semi-join reduction strategy using replication and shuffle operations to join a first and a second data source. A filter building phase uses replication and pushes down a “Distinct” (e. g. , SQL) operator to produce a list of join keys for the first data source (one side of the join). A shuffle phase for the second data source is modified to join to the key list produced in the first phase as a row filtering mechanism. A join phase then joins the first and second data sources.
  • Extracting Similar Entities From Lists / Tables

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  • US Patent:
    20090157644, Jun 18, 2009
  • Filed:
    Dec 12, 2007
  • Appl. No.:
    11/954218
  • Inventors:
    Sreenivas Gollapudi - Cupertino CA, US
    Alan Halverson - Sunnyvale CA, US
  • Assignee:
    MICROSOFT CORPORATION - Redmond WA
  • International Classification:
    G06F 7/06
  • US Classification:
    707 5, 707E17014
  • Abstract:
    Large numbers of lists of entities may be mined for similar entities to related searches. A representation for each list may be determined to provide for a comparison between lists and to support membership checks. A score for an element in a list may be computed that represents the validity of an item in the corpus of lists. Thus, a spurious element would receive a very low score, where a valid element would receive a higher score. A list weight is then computed using the constituent element weights, and the element and list weight are used to compute the nearest neighbors of a given query element.
  • Rating Computation On Social Networks

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  • US Patent:
    20090306996, Dec 10, 2009
  • Filed:
    Jun 5, 2008
  • Appl. No.:
    12/133370
  • Inventors:
    Panayiotis Tsaparas - Palo Alto CA, US
    Krishnaram N. G. Kenthapadi - Mountain View CA, US
    Alan Halverson - Sunnyvale CA, US
  • Assignee:
    MICROSOFT CORPORATION - Redmond WA
  • International Classification:
    G06Q 99/00
  • US Classification:
    705 1
  • Abstract:
    A social network may be used to determine a rating of a user with no prior history. The ratings for unrated nodes may be inferred from the existing ratings of users associated with the unrated node in either or both the underlying social network or other social networks. Additionally in some implementations, the effect of the rating of a rated node to an unrated node diminishes as the strength of their relationships decreases. In some cases, a social network may be modeled as an electrical network, and ratings may be modeled as voltages on the nodes of the social network, relationships in the social network may be modeled as connections in the electrical network, and in some cases the strength of relationships may be modeled as conductance of the connections. Ratings for nodes may be determined using Kirchhoff's Law and in some cases by solving a set of linear equations or by propagating positive and negative ratings using a random walk with absorbing states.
  • Generating Training Data From Click Logs

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  • US Patent:
    20090313286, Dec 17, 2009
  • Filed:
    Jun 17, 2008
  • Appl. No.:
    12/140272
  • Inventors:
    Nina Mishra - Newark CA, US
    Rakesh Agrawal - San Jose CA, US
    Sreenivas Gollapudi - Cupertino CA, US
    Alan Halverson - Sunnyvale CA, US
    Krishnaram N. G. Kenthapadi - Mountain View CA, US
    Rina Panigrahy - Mountain View CA, US
    John C. Shafer - Los Altos CA, US
    Panayiotis Tsaparas - Palo Alto CA, US
  • Assignee:
    MICROSOFT CORPORATION - Redmond WA
  • International Classification:
    G06F 7/00
    G06F 17/30
  • US Classification:
    707102, 707E17005
  • Abstract:
    Data from a click log may be used to generate training data for a search engine. The pages clicked as well as the pages skipped by a user may be used to assess the relevance of a page to a query. Labels for training data may be generated based on data from the click log. The labels may pertain to the relevance of a page to a query.
  • Data Visibility For Nested Transactions In Distributed Systems

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  • US Patent:
    20220318263, Oct 6, 2022
  • Filed:
    Mar 31, 2021
  • Appl. No.:
    17/219007
  • Inventors:
    - Redmond WA, US
    Alan Dale HALVERSON - Verona WI, US
    Sandeep LINGAM - Redmond WA, US
    Srikumar RANGARAJAN - Sammamish WA, US
  • International Classification:
    G06F 16/27
    G06F 9/46
    G06F 16/901
  • Abstract:
    Methods for data visibility in nested transactions in distributed systems are performed by systems and devices. Distributed executions of queries are performed in processing systems according to isolation level protocols with unique nested transaction identifiers for data management and versioning across one or more data sets, one or more compute pools, etc., within a logical server via a single transaction manager that oversees the isolation semantics and data versioning. A distributed query processor of the systems and devices performs nested transaction versioning for distributed tasks by generating nested transaction identifiers, encoded in data rows, which are used to enforce correct data visibility. Data visibility is restricted to previously committed data from distributed transactions and tasks, and is blocked for distributed transactions and tasks that run concurrently. Local commits for completed transactions and tasks are used to minimize transaction manager interactions, and instant rollbacks are enabled for aborted transactions and tasks.
  • Methods For Automatic Selection Of Degrees Of Parallelism For Efficient Execution Of Queries In A Database System

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  • US Patent:
    20200104397, Apr 2, 2020
  • Filed:
    Sep 30, 2018
  • Appl. No.:
    16/147820
  • Inventors:
    - Redmond WA, US
    Rathijit Sen - Madison WI, US
    Harshada Chavan - Plymouth MN, US
    Alan Halverson - Verona WI, US
  • International Classification:
    G06F 17/30
    G06F 9/52
  • Abstract:
    Methods for automatic selection of degrees of parallelism for efficient execution of queries in a database system are performed by systems and devices. An incoming query associated with a query system is received and features of the incoming query are determined. A system state of the query system and a set of executing queries are also determined, along with a query state of each executing query in the set. At runtime of the incoming query, allocation of a degree of parallelism for executing the query is determined by calculating different possible execution times for the incoming query at least partially concurrently with the set of executing queries. Execution times are calculated for different parallel thread options and based on query features, system state, or query states of executing queries. The execution of the incoming query is initialized with the parallel thread option corresponding to a specific execution completion time.

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Facebook

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Alan Halverson

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Myspace

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Youtube

Easy Does It

Basic piano jazz in slow shuffle tempo recorded by Alan Halverson on t...

  • Duration:
    5m 35s

Come Follow Me - Matt. 1 & Luke 1 (part 1): T...

Part 1 of a 2-part verse-by-verse study of Matthew 1 and Luke 1 (this ...

  • Duration:
    2h 4m 38s

Come Follow Me - Matt. 1 & Luke 1 (part 2): "...

Part 2 of a 2-part verse-by-verse study of Matthew 1 and Luke 1 (this ...

  • Duration:
    1h 40m 7s

Come Follow Me - Introduction to the New Test...

Part 1 of a 2-part introduction to the New Testament (this part will c...

  • Duration:
    1h 26m 46s

Come Follow Me - The Book of Jonah: "Swallowe...

An in-depth study of the Book of Jonah. This lesson focuses on history...

  • Duration:
    1h 57m 37s

Come Follow Me - The Book of Hosea: "Forgivin...

An in-depth study of the Book of Hosea. This lesson focuses on covenan...

  • Duration:
    2h 35m 23s

Plaxo

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Alan Halverson

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Centennial, ColoradoComputer Programmer/Applications Software at Vario... Computer Applications, Author, Pianist, Lightworker, Networking Wrote 2 books: Magnificent Transition and Love Power - The Clean Energy Fuel Of The Future

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