JAMES M SULLIVAN
Broker in Arlington, MA
License number
Massachusetts 97703
Issued Date
Jun 1, 1977
Expiration Date
May 9, 2018
Type
Broker
Address
Address
Arlington, MA 02476
Professional information
Computer-Implemented Collaborative Filtering Based Method For Recommending An Item To A User
US Patent:
6049777, Apr 11, 2000
Filed:
Mar 14, 1997
Appl. No.:
8/818515
Inventors:
Jonathan Ari Sheena - Cambridge MA
John Edward McNulty - Burlington MA
James J. Sullivan - Arlington MA
Max E. Metral - Boston MA
John Edward McNulty - Burlington MA
James J. Sullivan - Arlington MA
Max E. Metral - Boston MA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 1760
US Classification:
705 10
Abstract:
An object for providing isolated, hierarchical data storage can be used in a method for recommending an item to one of a plurality of users. The data object abstracts an associated physical memory element and provides an interface for storing data and retrieving data from the physical memory element. In some embodiments the data object is provided with an indicator for identifying another data object that is used if a memory request is unable to be serviced by the associated physical memory element. In other embodiments this data object can be used to efficiently and transparently store profile data associated with a system for recommending items to users.
Distributed System For Facilitating Exchange Of User Information And Opinion Using Automated Collaborative Filtering
US Patent:
6112186, Aug 29, 2000
Filed:
Mar 31, 1997
Appl. No.:
8/828631
Inventors:
Christopher P. Bergh - Lexington MA
Max E. Metral - Boston MA
David Henry Ritter - Boxborough MA
Jonathan Ari Sheena - Cambridge MA
James J. Sullivan - Arlington MA
Max E. Metral - Boston MA
David Henry Ritter - Boxborough MA
Jonathan Ari Sheena - Cambridge MA
James J. Sullivan - Arlington MA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 1760
US Classification:
705 10
Abstract:
A system for facilitating exchange of user information and opinion using automated collaborative filtering includes memory elements for storing item profiles and user profiles. The data contained in those profiles is used to calculate a number of similarity factors representing how closely the preferences of one user correlate with another. The similarity factors are evaluated to select a set of neighboring users for each user which represents the set of users which most closely correlate with a particular user. The system assigns a weight to each one of the neighboring users. The system uses the ratings given to items by those neighboring users to recommend an item to a user. The system may be distributed, i. e. the system may include a number of nodes connected to a central server. The central server includes a memory element for storing user profile data and the nodes may be the type of system described above.