ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers and Special Section on Intelligent Healthcare Informatics: Volume 6 Issue 4, August 2015
Citation Count: 9
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Latent Dirichlet allocation (LDA) is a popular topic modeling technique in academia but less so in industry, especially in large-scale applications involving search engine and online advertising systems. A main underlying reason is that the topic models used have been too small in scale to be useful; for example, some ...
big topic models, online advertising systems, Latent Dirichlet allocation, big data, search engine, long-tail topic features