Machine-learned approach to determining document relevance...

Details Machine-learned approach to determining document relevance... Machine-learned approach to determining document relevance...

2007-10-23

2007-10-23

Holmes, Michael B. (Department: 2121)

Data processing: artificial intelligence

Machine learning

C707SE17108

Reexamination Certificate

active

10754159

ABSTRACT:
The present invention relates to a system and methodology that applies automated learning procedures for determining document relevance and assisting information retrieval activities. A system is provided that facilitates a machine-learned approach to determine document relevance. The system includes a storage component that receives a set of human selected items to be employed as positive test cases of highly relevant documents. A training component trains at least one classifier with the human selected items as positive test cases and one or more other items as negative test cases in order to provide a query-independent model, wherein the other items can be selected by a statistical search, for example. Also, the trained classifier can be employed to aid an individual in identifying and selecting new positive cases or utilized to filter or re-rank results from a statistical-based search.

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