A Live Comparison of Methods for Personalized Article Recommendation at Forbes

2022/01/18


Note:

  • Hybrid of collaborative-filtering and a content-based method that leverage Wikipedia-based concept features
  • Post-processed by a novel Bayesian remapping technique

Baseline

Popular

Result

Increase in CTR of 37% (Hybrid with Wiki vs. popular)


Reference

E. Kirshenbaum, G. Forman, and M. Dugan, “A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com,” in Machine Learning and Knowledge Discovery in Databases, vol. 7524, P. A. Flach, T. De Bie, and N. Cristianini, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 51–66. doi: 10.1007/978-3-642-33486-3_4.

#recommender-system #recommender-system/collaborative-filtering #recommender-system/news #recommender-system/bayesian