The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 04, 2013

Filed:

Dec. 19, 2008
Applicants:

Kristine A. German, Webster, NY (US);

Robert M. Lofthus, Webster, NY (US);

Robert Roy Price, Palo Alto, CA (US);

Florent Perronnin, Domene, FR;

Claudio Cifarelli, Grenoble, FR;

Minh DO, Palo Alto, CA (US);

Rong Zhou, San Jose, CA (US);

Inventors:

Kristine A. German, Webster, NY (US);

Robert M. Lofthus, Webster, NY (US);

Robert Roy Price, Palo Alto, CA (US);

Florent Perronnin, Domene, FR;

Claudio Cifarelli, Grenoble, FR;

Minh Do, Palo Alto, CA (US);

Rong Zhou, San Jose, CA (US);

Assignees:

Xerox Corporation, Norwalk, CT (US);

Palo Alto Research Center Incorporate, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09B 3/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A recommender system and method including receiving a request identifying at least one current student for which a recommendation is sought and accessing stored student data including attributes associated with respective students of the current students and a plurality of predecessor students. For the predecessor students the attributes include educational resources. The method includes clustering one of predecessor students and the current students into clusters based on sameness of first selected attributes of their respective associated attributes. The method includes generating a mapping between respective students of the other of the predecessor and current students and one of the clusters based on sameness of second selected attributes associated with the students being mapped. The method then includes recommending for each of the current students the educational resource associated with the predecessor student or cluster of predecessor students that the current student is mapped with.


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