• Generative Clustering Model
  • Objective
    • To maximize the total intra-cluster coherence
  • Use-cases
    • Naive Bayes for ranking
    • (Similar product) Inferring latent product for unseen one
• Evaluate using offline and online
  • Offline evaluation
    • The area under the click-view ROC curve (AOC)
      • Plots the click recall vs view recall from the testing examples ranked in descending order
    • Relative CTR lift over a baseline predictor at a certain recall level of view
  • Online evaluation
    • CTR
    • BTR (bid-through rate)
    • PTR (purchase-through rate
    • GMB (gross merchandising bought)

Result

• 3-5 folds improvement in CTR and Purchase-through rate

Reference

Y. Chen and J. F. Canny, “Recommending ephemeral items at web scale,” in Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR ’11, Beijing, China, 2011, p. 1013. doi: 10.1145/2009916.2010051.

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