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Erik W Selberg, 525730 38Th Ave NE, Seattle, WA 98105

Erik Selberg Phones & Addresses

5730 38Th Ave, Seattle, WA 98105   

4815 36Th St, Seattle, WA 98105    206-5173039   

3516 75Th St, Seattle, WA 98115    206-5173039   

Wauna, WA   

Salt Lake City, UT   

New Providence, NJ   

Pittsburgh, PA   

4815 36Th Ave NE #98000, Seattle, WA 98105    206-5711748   

Work

Position: Precision Production Occupations

Education

Degree: High school graduate or higher

Emails

Mentions for Erik W Selberg

Erik Selberg resumes & CV records

Resumes

Erik Selberg Photo 16

Vp, Shipping And Member Communications

Location:
Seattle, WA
Industry:
Information Technology And Services
Work:
Ebay
Vp, Shipping and Member Communications
Grab
Head of Engineering, Big Data
Metabrite Sep 2017 - Sep 2018
Chief Data Officer and Vice President of Engineering
Amperity Sep 1, 2016 - Sep 2017
Vice President of Machine Learning and Data Science
T-Mobile Jul 2015 - Sep 2016
Director of Enterprise Data, Big Data Platform, and Data Security
Amazon Oct 2011 - May 2015
Director, Amazon Enterprise Data Warehouse, Big Data Systems, and Consumer Databases
Amazon 2007 - 2011
Senior Manager, Item Management
Microsoft Feb 2006 - Sep 2007
Senior Software Developer, Search Labs
Microsoft 2003 - 2006
Senior Program Manager, Web Search Algorithmic Relevance
Realnetworks 2001 - 2003
Development Manager, Content Discovery Systems
Fizzylab 2000 - 2001
Director of Search
Go2Net 1999 - 2000
Director, Search
Education:
University of Washington 1993 - 1999
Doctorates, Doctor of Philosophy, Computer Science, Engineering
Carnegie Mellon University 1989 - 1993
Bachelors, Bachelor of Science, Mathematics, Computer Science
Skills:
Big Data, Data Warehousing, Scalability, Distributed Systems, Agile Methodologies, Software Development, Software Engineering, Software Design, Management, Hadoop, Cloud Computing, Scrum, It Strategy, Search, Perl, Saas, Agile Project Management, Java, Mobile Applications, Mobile Devices, Algorithms, Web Services, System Architecture, Web Applications, Rest, Mapreduce
Erik Selberg Photo 17

Senior Manager At Amazon

Position:
Senior Manager, Data Warehouse at Amazon.com
Location:
Greater Seattle Area
Industry:
Computer Software
Work:
Amazon.com since Oct 2007
Senior Manager, Data Warehouse
Microsoft Feb 2004 - Sep 2007
Senior Software Developer
FizzyLab 2000 - 2001
Director of Search
Go2Net 1999 - 2000
Director, Search
Education:
University of Washington 1993 - 1999
PhD, Computer Science & Engineering
Carnegie Mellon University 1989 - 1993
BS, Math / Computer Science
Skills:
Data Warehousing, Big Data, IT Strategy, Search, Management, Distributed Systems, Scalability, Hadoop, Agile Methodologies, Software Engineering, Software Development, Perl

Publications & IP owners

Wikipedia

Erik Selberg Photo 18

Erik Selberg

Erik Selberg is an American software developer best known for the creation of MetaCrawler , one of the first Web meta-search engines. ...

Us Patents

System And Method For Determining Initial Relevance Of A Document With Respect To A Given Category

US Patent:
7660791, Feb 9, 2010
Filed:
Feb 28, 2005
Appl. No.:
11/066297
Inventors:
Erik W. Selberg - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 7/00
G06F 17/30
G06F 17/00
US Classification:
707 5, 707 10, 707100
Abstract:
A system and method are provided for determining document relevance determination to a selected category for a document contained within a linked network of documents. The network may be represented by a network map including nodes representing documents and edges representing links between the documents. The method may include identifying each node in the network map known to belong to the selected category, identifying each node known to be outside of the selected category, and identifying nodes having an unknown category. The method may also include assigning a category rank based on the node category identification, identifying each link from each node and each link to each node, and assigning link weights based on the identified links. The method may additionally include determining node relevance to the selected category based on the assigned category rank and the assigned link weights. An origination domain and a destination domain for each link may be determined such that link weights are assigned for both incoming and outgoing links for each node.

Licensing Digital Content Use

US Patent:
7748030, Jun 29, 2010
Filed:
Jun 27, 2003
Appl. No.:
10/608278
Inventors:
Erik W. Selberg - Seattle WA, US
Qin Cai - Sammamish WA, US
David B. Hedbor - Plano TX, US
Chelsea C. Krueger - Bellevue WA, US
Assignee:
RealNetworks, Inc. - Seattle WA
International Classification:
G06F 17/30
US Classification:
726 7, 726 2, 705 59, 713165
Abstract:
Systems and methods for packaging, delivery, and use of digital content. In one embodiment, a license matrix is created and used for evaluating the license rights applicable to a requested use of a content item. The license matrix can comprise a plurality of licenses grouped in license chains, and each license can include a set of entitlement rules and a set of grants. A license chain can be associated with an identifier corresponding to a use of content. In another embodiment, it is provided a method of packaging unsecured content for secured delivery over a computer network. In yet another embodiment, a system and method are provided for applying digital management rules to a content item at the time a user requests a use of the content item. In some embodiments, systems and methods allow evaluation of a requested use against a group of licenses to determine the applicable license rights for the requested use.

Presenting Result Items Based Upon User Behavior

US Patent:
7792813, Sep 7, 2010
Filed:
Aug 31, 2007
Appl. No.:
11/848980
Inventors:
Erik Warren Selberg - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/30
US Classification:
707706, 707708, 707721, 707723
Abstract:
Methods, systems, and computer storage media having computer-executable instructions embodied thereon that, when executed, perform methods for identifying and presenting the “best” answer to a given search query as it relates to a particular user based upon that user's behavior are provided. Upon receipt of a search query and determination of the search result items satisfying the query, it is determined whether the user has executed the same or substantially similar search in the past and, if so, if there is a particular one of the search result items that s/he has a tendency to select when the search result items are presented. If a particular result is frequently selected, that result is prominently presented (e. g. , highlighted, display with a border, displayed in a different font than other results, or the like) among the search result items making it easier for the user to quickly identify the desired result.

Time-Anchored Posterior Indexing Of Speech

US Patent:
7831425, Nov 9, 2010
Filed:
Dec 15, 2005
Appl. No.:
11/300735
Inventors:
Alejandro Acero - Bellevue WA, US
Asela J. Gunawardana - Seattle WA, US
Ciprian I. Chelba - Seattle WA, US
Erik W. Selberg - Seattle WA, US
Frank Torsten B. Seide - Beijing, CN
Patrick Nguyen - Seattle WA, US
Roger Peng Yu - Beijing, CN
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G10L 15/04
G10L 15/00
G10L 15/28
US Classification:
704251, 704231, 704252, 704253, 704255
Abstract:
A computer-implemented method of indexing a speech lattice for search of audio corresponding to the speech lattice is provided. The method includes identifying at least two speech recognition hypotheses for a word which have time ranges satisfying a criteria. The method further includes merging the at least two speech recognition hypotheses to generate a merged speech recognition hypothesis for the word.

System And Method For Conditioning Search Results

US Patent:
8463770, Jun 11, 2013
Filed:
Jul 9, 2008
Appl. No.:
12/170195
Inventors:
Srikanth Thirumalai - Clyde Hill WA, US
Erik W. Selberg - Seattle WA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707722, 707692, 707749, 707797
Abstract:
Various embodiments of a system and method for conditioning search results are described. The system and method for conditioning search results may include a search result conditioning component. The search result conditioning component may be configured to determine a search result group including multiple search results each corresponding to an item offered for sale; such search results may be results of a search query. The search result conditioning component may be configure to modify the search result group by removing one or more search results from the search result group in response to determining that a measure of similarity between the one or more search results and other search results of the search result group is greater than a requisite measure of similarity (e. g. , a threshold). The search result conditioning component may be configured to output the modified search result group.

Configurable Rules Based Content Item Consumption

US Patent:
2005010, May 19, 2005
Filed:
Apr 30, 2004
Appl. No.:
10/836646
Inventors:
Scott Jarol - Seattle WA, US
Erik Selberg - Seattle WA, US
Randy Meyerson - Seattle WA, US
Qin Cai - Sammamish WA, US
Chelsea Krueger - Bellevue WA, US
David Hedbor - Issaquah WA, US
International Classification:
G06F017/60
US Classification:
705059000
Abstract:
In accordance with at least one aspect of the present invention, a content provider functions as a content rights broker facilitating the acquisition of content item consumption rights from one or more licensing or rights provisioning authorities on behalf of consumers, based upon configurable business rules logic used by the content provider to derive appropriate sets of rights based upon a content item to be consumed.

System And Method For Optimization Of Results Based On Monetization Intent

US Patent:
2006017, Aug 3, 2006
Filed:
Feb 3, 2005
Appl. No.:
11/048719
Inventors:
Eric Watson - Redmond WA, US
Erik Selberg - Seattle WA, US
Nicole Hamilton - Redmond WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/30
US Classification:
707003000
Abstract:
A method and system are provided for determining a query monetization value and optimizing results based on the determined monetization value. A system may be provided that includes implementing a search engine for producing search results in response to an input query transmitted to the search engine, wherein the input query including at least one keyword. The system may include monetization determination components for determining a monetization value of the input query. The monetization components may also determine a monetization value of result pages produced by the search engine. The system may further include result modification components for modifying search results produced by the search engine based on the determined monetization values.

Method And System Using Information Written In A Wrapper Description Language To Execute Query On A Network

US Patent:
6102969, Aug 15, 2000
Filed:
May 12, 1999
Appl. No.:
9/310899
Inventors:
David Christianson - Seattle WA
Robert B. Doorenbos - Seattle WA
Oren Etzioni - Seattle WA
Chung Kwok - Seattle WA
Gregory Lauckhart - Seattle WA
Erik Selberg - Seattle WA
Daniel S. Weld - Seattle WA
Assignee:
Netbot, Inc. - Seattle WA
International Classification:
G06F 1730
US Classification:
717 8
Abstract:
This invention provides assistance to a user in accessing network attached information sources. In one aspect, the invention is a method for intelligently routing a user query to information sources relevant to that query, extracting relevant data fields from received responses, and intelligently presenting the extracted data in order of estimated relevance. The system of this invention implements one or more steps of the method in a centralized or distributed manner on one or more network attached computers. Further, this invention provides a novel language and implementation that facilitates easily written and maintained descriptions of information source query and response formats.

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