Dynamic metadata filtering for classifier prediction

Details Dynamic metadata filtering for classifier prediction Dynamic metadata filtering for classifier prediction

2011-04-12

2011-04-12

Mahmoudi, Tony (Department: 2169)

Data processing: database and file management or data structures

Database and file access

Query optimization

C707S601000, C707S736000

Reexamination Certificate

active

07925645

ABSTRACT:
A classifier is used to predict relevant results with arbitrary filtering conditions specified by the user. The classifier model is stored as a database table and joined with a metadata properties table instead of calculating the query result probability using the full classifier model. A user-specified query based filter is applied to the joined tables to obtain the list of documents satisfying the filter. The probability is then computed using the sub-model.

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