Manifold-aware ranking kernel for information retrieval
AssigneeSony Corporation
InventorsXun Xu, Akira Nakamura, Dian Gong, Su Wang
Life of this patent
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AssigneeSony Corporation
InventorsXun Xu, Akira Nakamura, Dian Gong, Su Wang
Estimating the term…
A manifold-aware ranking kernel (MARK) for information retrieval is described herein. The MARK is implemented by using supervised and unsupervised learning. MARK is ranking-oriented such that the relative comparison formulation directly targets on the ranking problem, making the approach optimal for information retrieval. MARK is also manifold-aware such that the algorithm is able to exploit information from ample unlabeled data, which helps to improve generalization performance, particularly when there are limited number of labeled constraints. MARK is nonlinear: as a kernel-based approach, the algorithm is able to lead to a highly non-linear metric which is able to model complicated data distribution.
A method of manifold-aware ranking kernel learning programmed in a memory of a device comprising:
A method of information retrieval programmed in a memory of a device comprising:
An apparatus comprising:
An apparatus comprising:
Dependencies are inferred from the claim text.