A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications

KDD, pp. 1713-1721, 2017.

Cited by: 1|Bibtex|Views142|DOI:https://doi.org/10.1145/3097983.3098200
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Topic models are often applied in industrial settings to discover user profiles from activity logs where documents correspond to users and words to complex objects such as web sites and installed apps. Standard topic models ignore the content-based similarity structure between these objects largely because of the inability of the Dirichle...More

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