Model-Parallel Inference for Big Topic Models

CoRR, 2014.

Cited by: 6|Views15
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Abstract:

In real world industrial applications of topic modeling, the ability to capture gigantic conceptual space by learning an ultra-high dimensional topical representation, i.e., the so-called "big model", is becoming the next desideratum after enthusiasms on "big data", especially for fine-grained downstream tasks such as online advertising...More

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