recsys] [ datascience machinelearning learning career python productivity production omscs engineering lazada writing til misc business survey leadership deeplearning recsys agile spark nlp informalmentors ]
Emphasis on bias, more sequential models & bandits, robust offline evaluation, and recsys in the wild.
What I learned about measuring diversity, novelty, surprise, and serendipity from 10+ papers.
Comparing baselines (matrix factorization) against novel approaches using graphs & NLP.
Beating the baseline using Graph & NLP techniques on PyTorch, AUC improvement of ~21% (Part 2 of 2).
Building a baseline recsys based on data scraped off Amazon. Warning - Lots of charts! (Part 1 of 2).