1 / 8

Plans on “Latent Topic Model”

Plans on “Latent Topic Model”. High-Level Architecture. Users. Ads. User Encoding. User Encoding. User Clustering. Prediction. eCTR / FB Prediction. Existing Pipeline. Encoding Auto-encoder for dimension reduction Political affiliation clustering

trista
Download Presentation

Plans on “Latent Topic Model”

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Plans on “Latent Topic Model”

  2. High-Level Architecture Users Ads User Encoding UserEncoding UserClustering Prediction eCTR / FB Prediction

  3. Existing Pipeline • Encoding • Auto-encoder for dimension reduction • Political affiliation clustering • Output: Hive table (user id + low-dim representation) • eCTR prediction • Optional: user clustering stage

  4. Approaches to use encoding in eCTR prediction

  5. Proposed Models

  6. Algorithm Details

  7. Project Plans

  8. Resources

More Related