Google since Jan 2012
Googler
Recess Networks, LLC Oct 2010 - Sep 2011
Chief Technical Officer
Amazon.com Sep 2009 - Sep 2010
Computer Scientist - Automated Advertising
Amazon.com Jul 2005 - Sep 2009
Computer Scientist - Similarities
Amazon.com Jan 2005 - Jul 2005
Computer Scientist - Behavior Based Search
Education:
University of Michigan 2003 - 2004
University of Michigan 1997 - 2001
Skills:
Data Mining Computer Science Algorithms Distributed Systems Mapreduce Data Processing Artificial Intelligence Machine Learning Big Data Parallel Computing Probability Classification Decision Theory Natural Language Processing Scalability
Google since Jan 2012
Googler
Recess Networks, LLC Oct 2010 - Sep 2011
Chief Technical Officer
Amazon.com Sep 2009 - Sep 2010
Computer Scientist - Automated Advertising
Amazon.com Jul 2005 - Sep 2009
Computer Scientist - Similarities
Amazon.com Jan 2005 - Jul 2005
Computer Scientist - Behavior Based Search
Education:
University of Michigan 2003 - 2004
University of Michigan 1997 - 2001
Skills:
Data Mining Parallel Computing Probability Classification Decision Theory Data Processing Natural Language Processing Artificial Intelligence Computer Science Machine Learning MapReduce Algorithms Distributed Systems
Us Patents
Extrapolation Of Behavior-Based Associations To Behavior-Deficient Items
Behavior-based associations are extrapolated to items for which the quantity of collected user activity data is insufficient to create meaningful or reliable behavior-based associations (“behavior-deficient” items). The behavior-based associations are extrapolated based on content-based associations, or another type of “substitutability” association, between the behavior-deficient items and other items. The items can be any type of item for which user behaviors (e. g. , purchases, accesses, downloads, etc. ) can be monitored and analyzed to detect behavior-based associations, and for which item content or other available information can be used to assess item substitutability. For example, the items can be products represented in an electronic catalog, web pages or other documents accessible on a network, or web sites.
Extrapolation-Based Creation Of Associations Between Search Queries And Items
Behavior-based associations, such as item-to-item or query-to-item associations, are extrapolated to other items to create new associations. The items to which the associations are extrapolated may be “behavior deficient” items, or items for which the quantity of collected user activity data is insufficient to create meaningful or reliable behavior-based associations. The behavior-based associations are extrapolated based on content-based associations, or another type of “substitutability” association, between items. The items can be any type of item (e. g. , products, web sites, documents, etc. ) for which user behaviors (e. g. , purchases, accesses, downloads, etc. ) can be monitored and analyzed to detect behavior-based associations, and for which item content or other available information can be used to assess item substitutability.
Evaluating Recommendations By Determining User Actions, And Performance Values Pertaining To Lists Of Recommendations
Ronald M. Whitman - Seattle WA, US Wesley M. Turner - Seattle WA, US Jin Y. Yi - Seattle WA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06F 17/00
US Classification:
706 45
Abstract:
Generally described, embodiments of the present disclosure are directed toward the identification of items for inclusion in a recommendations list that may be displayed concurrently with an item selected by a user or users. The recommended items may be items that are of potential interest to the user and/or may be items that are related to the selected item. More specifically, embodiments of the present disclosure provide a method and system for generating one or more recommendations lists, providing those lists to users, evaluating users' interactions with those lists, and modifying the engines or techniques used to identify items that are to be included in the recommendations lists.
Jin Yi - Seattle WA, US Avi A. Levitan - Seattle WA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06Q 30/00
US Classification:
705 267, 705 271
Abstract:
This disclosure describes systems and methods for recommending bundles of items to users. A bundle can include an item that is substitutable for an item selected by a user and one or more related items that complement the substitutable item. For example, if a user has selected a wireless device on a page of a network application, a bundle recommendation can be provided that includes a similar wireless device and related accessories, a compatible service plan, and the like. Recommending bundles of items can be beneficial for providing users with access to items that they might like to purchase together, without requiring users to separately find each item.
Avi A. Levitan - Seattle WA, US Jin Yi - Seattle WA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06Q 30/00
US Classification:
705 26, 705 27
Abstract:
This disclosure describes systems and methods for recommending bundles of items to users. A bundle can include an item that is substitutable for an item selected by a user and one or more related items that complement the substitutable item. For example, if a user has selected a wireless device on a page of a network application, a bundle recommendation can be provided that includes a similar wireless device and related accessories, a compatible service plan, and the like. Recommending bundles of items can be beneficial for providing users with access to items that they might like to purchase together, without requiring users to separately find each item.
System For Generating Behavior-Based Associations For Multiple Domain-Specific Applications
Jin Y. Yi - Seattle WA, US Dany Miguel Yannick Houde - Seattle WA, US Douglas Tak-Lai Wong - Seattle WA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06F 7/00 G06F 17/30
US Classification:
707705, 707722, 707727, 707728
Abstract:
Systems and processes are described for generating a generic relationship dataset that can be adapted for use by multiple domain-specific applications. Such applications can include recommendation applications, search applications, optimization applications, and/or other applications. These systems and processes can analyze some or all actions of users with respect to a network application, such as a web application. Data representing user actions occurring in a time window can be paired together in the relationship dataset, together with one or more metrics related to the user actions. These metrics can represent general measurements that in certain embodiments are not customized for an individual application. As a result, separate domain-specific applications can independently analyze the relationship data according to different criteria without maintaining separate sets of the relationship data.
Extrapolation Of Item Attributes Based On Detected Associations Between The Items
An attribute of a first item is extrapolated to a second item that is not known to have that attribute. The extrapolation occurs as a result of a substitution association detected between the first and second items. The substitution association may be detected based on an analysis of the content of the first and second items. The extrapolated attribute may be a behavioral association with a third item, in which case an inference is drawn that the second and third items are behaviorally related. The items may, for example, be products represented in an electronic catalog.
Ronald M. Whitman - Seattle WA, US Wesley M. Turner - Seattle WA, US Jin Y. Yi - Seattle WA, US
International Classification:
G06N 5/02
US Classification:
706 46
Abstract:
Generally described, embodiments of the present disclosure are directed toward the identification of items for inclusion in a recommendations list that may be displayed concurrently with an item selected by a user or users. The recommended items may be items that are of potential interest to the user and/or may be items that are related to the selected item. More specifically, embodiments of the present disclosure provide a method and system for generating one or more recommendations lists, providing those lists to users, evaluating users' interactions with those lists, and modifying the engines or techniques used to identify items that are to be included in the recommendations lists.
Name / Title
Company / Classification
Phones & Addresses
Jin Yi Director
Pignose, Inc
Jin Yi CFO
Village Cleaners Coin-Operated Laundries and Drycleaners
15715 Pacific Ave S, Tacoma, WA 98444 253 531-2048
I'm currently working at Straits Printers, a printing services provider in Singapore. I enjoy teh-c at my local kopitiam and talking to people. If you'd like to get in touch, drop me an e-mail...