Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2005-07-12
2005-07-12
Ali, Mohammad (Department: 2167)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C706S046000
Reexamination Certificate
active
06917952
ABSTRACT:
The similarity between two data objects of the same type (e.g., two resumes, two job descriptions, etc.) is determined using predictive modeling. A basic assumption is that training datasets are available containing compatibility measures between objects of the first type and data objects of a second type, but that training datasets measuring similarity between objects of the first type are not. A first predictive model is trained to assess compatibility between data objects of a first type and data objects of a second type. Then, in one scenario, pairs of objects of the first type are compared for similarity by running them through the first predictive model as if one object of the pair is an object of the first type and the other object of the pair is an object of the second type. Alternatively, for each object in a set of objects of the first type, the first predictive model is used to create a respective vector of compatibility scores against a fixed set of objects of the second type; these various vectors are then used to derive measures of similarity between pairs of objects of the first type, from which a second predictive model is trained, and the second predictive model is then used to assess the similarity of pairs of objects of the first type.
REFERENCES:
patent: 6266668 (2001-07-01), Vanderveldt et al.
patent: 6430615 (2002-08-01), Hellerstein et al.
patent: 6725208 (2004-04-01), Hartman et al.
patent: 6728695 (2004-04-01), Pathria et al.
Hofmann, Thomas, “Probabilistic Latent Semantic Indexing”, SIGIR, Aug. 1999 Berkeley, CA USA, Copyright 1999 ACM 1-58113-096-1/99/0007.
Hofmann, Thomas, “Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization”, Advances in Neural Information Processing Systems 12, MIT Press (2000).
Todd, Peter M. and Rumelhart, David E., “Feature Abstraction from Similarity Ratings: A Connectionist Approach”, unpublished manuscript.
Steyvers, Mark and Busey, Tom, “Predicting Similarity Ratings to Faces Using Physical Descriptions”, Predicting Similarity Ratings, (2000).
Crooks Theodore J.
Dailey Matthew N.
Laffoon Mark A.
Pathria Anu K.
Ali Mohammad
Burning Glass Technologies, LLC
McDermott Will & Emery LLP
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