Data processing apparatus for propagative correlation

Details Data processing apparatus for propagative correlation Data processing apparatus for propagative correlation

2007-09-19

2010-12-14

Pham, Khanh B (Department: 2158)

Data processing: database and file management or data structures

Database and file access

Post processing of search results

C707S723000, C707S722000, C707S705000

Reexamination Certificate

active

07853588

ABSTRACT:
A data processing apparatus for propagative correlation can include a memory to store a raw matrix with object identifiers and actor identifiers, in the presence or absence of a quantified matrix element, and a background module to convert the raw matrix into reclassified matrix blocks as a function of a criterion linked to the quantified matrix element. The data processing matrix can also include a selection manager to search for an input actor identifier in a first table, the links of which associate an actor identifier and one or more matrix blocks, and to present information depending on the contents of the associated matrix block or blocks. The background module can also include a cross-classifier to convert the raw matrix of the matrix element and a value matrix of the matrix element. The selection manager operates on the basis of the reclassified matrix blocks.

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Corresponding French Search Report dated Jun. 8, 2007.
Yang et al., “An improved Collaborative Filtering Method for Recommendations' Generation” 2004 IEEE International Conference on Systems, Man and Cybernetics, vol. 5, Oct. 10, 2004, pp. 4135-4139, XP010772976.
Sarwar et al., “Item-Based Collaborative Filtering Recommendation Algorithms” Proceedings of the International Conference on the World Wide Web, May 1, 2001, pp. 285-295, XP002228384.

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