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    • 6. 发明申请
    • MANIFOLD-AWARE RANKING KERNEL FOR INFORMATION RETRIEVAL
    • MANIFOLD-AWARE排名信息查询
    • WO2014144396A1
    • 2014-09-18
    • PCT/US2014/028787
    • 2014-03-14
    • SONY CORPORATIONXU, XunNAKAMURA, AkiraGONG, DianWANG, Su
    • XU, XunNAKAMURA, AkiraGONG, DianWANG, Su
    • G06F15/18
    • G06N99/005
    • 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.
    • 本文描述了用于信息检索的歧管感知排名内核(MARK)。 MARK通过使用监督和无监督的学习来实现。 MARK以排名为导向,相对比较方式直接针对排名问题,使得该方法对于信息检索最为理想。 MARK也是歧管感知的,使得算法能够利用来自充足的未标记数据的信息,这有助于提高泛化性能,特别是当有限数量的标记约束时。 MARK是非线性的:作为基于内核的方法,该算法能够导致高度非线性的度量,能够对复杂的数据分布进行建模。