Jun Li

6567797, May 20, 2003

Oct 19, 1999

09/425038

Hinrich Schuetze - San Francisco CA
James E. Pitkow - Palo Alto CA
Peter L. Pirolli - San Francisco CA
Ed H. Chi - Palo Alto CA
Jun Li - Seattle WA

Xerox Corporation - Stamford CT

G06F 700

707 2, 707 3, 707 4, 707 5, 707 10, 709203

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

6564202, May 13, 2003

Oct 19, 1999

09/421419

Hinrich Schuetze - San Francisco CA
Peter L. Pirolli - San Francisco CA
James E. Pitkow - Palo Alto CA
Ed H. Chi - Palo Alto CA
Jun Li - Seattle WA

Xerox Corporation - Stamford CT

G06F 1730

707 2

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

6598054, Jul 22, 2003

Oct 19, 1999

09/425039

Hinrich Schuetze - San Francisco CA
Peter L. Pirolli - San Francisco CA
James E. Pitkow - Palo Alto CA
Ed H. Chi - Palo Alto CA
Jun Li - Seattle WA

Xerox Corporation - Stamford CT

G06F 1700

707103R, 7071041, 345650, 345700

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

6922699, Jul 26, 2005

Oct 19, 1999

09/421416

Hinrich Schuetze - San Francisco CA, US
Francine R. Chen - Menlo Park CA, US
Peter L. Pirolli - San Francisco CA, US
James E. Pitkow - Palo Alto CA, US
Ed H. Chi - Palo Alto CA, US
Jun Li - Seattle WA, US
Ullas Gargi - Mountain View CA, US

Xerox Corporation - Stamford CT

G06F017/30

707103R, 707 3, 707 10, 7071041, 709203, 715513

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

6941321, Sep 6, 2005

Oct 19, 1999

09/421767

Hinrich Schuetze - San Francisco CA, US
Francine R. Chen - Menlo Park CA, US
Peter L. Pirolli - San Francisco CA, US
James E. Pitkow - Palo Alto CA, US
Ed H. Chi - Palo Alto CA, US
Jun Li - Seattle WA, US

Xerox Corporation - Stamford CT

G06F017/30

707103R, 707 10, 7071041, 709203, 715513

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

7158997, Jan 2, 2007

Oct 7, 2004

10/960741

Arnold N. Blinn - Bellevue WA, US
Jun Li - Seattle WA, US
Trevor Traina - Seattle WA, US

Microsoft Corporation - Redmond WA

G06F 17/30

7071041, 707 10, 707100

A business model is described in which one entity hosts, maintains, and provides a uniform interface for entering data into, a database of manufacturers product specification on behalf of a plurality of manufacturers. The entity then serves as an application service provider (ASP) with respect to that database, by allowing the manufacturers to access their respective product specification data in the database for any of a variety of uses outside of the database in exchange for some form of remuneration from those manufacturers.

7321901, Jan 22, 2008

Sep 29, 2000

09/676365

Arnold N. Blinn - Bellevue WA, US
Jun Li - Seattle WA, US
Trevor Traina - Seattle WA, US

Microsoft Corporation - Redmond WA

G06F 17/30

7071041, 707100, 707101

A business model is described in which one entity hosts, maintains, and provides a uniform interface for entering data into, a database of manufacturers product specification on behalf of a plurality of manufacturers. The entity then serves as an application service provider (ASP) with respect to that database, by allowing the manufacturers to access their respective product specification data in the database for any of a variety of uses outside of the database in exchange for some form of remuneration from those manufacturers.

20120210416, Aug 16, 2012

Jan 23, 2012

13/356399

Joe Mihelich - Folsom CA, US
Son Pham - San Jose CA, US
Jun Li - San Jose CA, US

G06F 21/00

726 11

Methods and systems for balancing load among firewall security devices are provided. According to one embodiment, a switch maintains a session table the session entries of which represent established traffic sessions between a source and a destination and form an association between the traffic session and a particular firewall security device (FSD). Responsive to receiving a packet of a first traffic session on a first port, a determination is made whether there exists a matching session entry. Responsive to a negative determination, a load balancing function is performed to select an FSD with which to associate the first traffic session and a corresponding reverse second traffic session. After processing of the packet by the selected FSD and receipt of the packet at a second port, a session entry is installed within the session table for the second traffic session and which associates the selected FSD with the second traffic session.