Model Based Search: Latent Dirichlet Allocation
November 5, 2016
I worked through a presentation by Thomas Levi, a wizard at Unbounce, a landing page company. . You can download the presentation at this link but you will need to log in in order to access the information. There’s also a video and an MP3 available. The idea is that concepts plus tailored procedures in models provides high value outputs. I noted this passage:
utilizing concepts in topic modeling can be used to build a highly effective model to categorize and find similar pages.
I noted the acronym LDA or Latent Dirichlet Allocation because that struck me as the core of the method. For those familiar with the original Autonomy Digital Reasoning Engine, there will be some similar chords. Unbounce’s approach provides another example of the influence and value of the methods pioneered by Autonomy in the mid 1990s.
Stephen E Arnold, November 5. 2016
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Model Based Search: Latent Dirichlet Allocation : Stephen E. Arnold @ Beyond Search