Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models

    Yuchen Wu
    Yuchen Wu
    Shibani Sanan
    Shibani Sanan
    Surojit Chatterjee
    Surojit Chatterjee

    WSDM, pp. 186-194, 2019.

    Cited by: 0|Bibtex|Views22|Links
    EI
    Keywords:
    sequence clustering interpretable recurrent neural network topic models

    Abstract:

    Long Short-Term Memory (LSTM) is one of the most powerful sequence models for user browsing history \citetan2016improved,korpusik2016recurrent or natural language text \citemikolov2010recurrent.Despite the strong performance, it has not gained popularity for user-facing applications, mainly owing to a large number of parameters and lack o...More

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