Learning semantic representations using convolutional neural networks for web search

    WWW (Companion Volume), 2014.

    Cited by: 342|Bibtex|Views80|Links
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    Keywords:
    local contextual informationlow-dimensional semantic vectorweb searchglobal vector representationhigh-level semantic informationMore(8+)

    Abstract:

    This paper presents a series of new latent semantic models based on a convolutional neural network (CNN) to learn low-dimensional semantic vectors for search queries and Web documents. By using the convolution-max pooling operation, local contextual information at the word n-gram level is modeled first. Then, salient local fea-tures in a ...More

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