🔖 Tag:
recsys
(15)
SearchBandits for Recommender Systems
Industry examples, exploration strategies, warm-starting, off-policy evaluation, and more.
08 May 2022 · 13 min · teardown recsys machinelearning
How to Measure and Mitigate Position Bias
Introducing randomness and/or learning from inherent randomness to mitigate position bias.
17 Apr 2022 · 6 min · recsys datascience
Counterfactual Evaluation for Recommendation Systems
Thinking about recsys as interventional vs. observational, and inverse propensity scoring.
10 Apr 2022 · 8 min · recsys datascience
RecSys 2021 - Papers and Talks to Chew on
Simple baselines, ideas, tech stacks, and packages to try.
03 Oct 2021 · 5 min · recsys deeplearning production survey
MLOps Community - System Design for RecSys & Search
An overview of system design, candidate retrieval, and ranking, with industry examples.
15 Sep 2021 · 1 min · recsys machinelearning production
Reinforcement Learning for Recommendations and Search
Focusing on long-term rewards, exploration, and frequently updated item.
05 Sep 2021 · 12 min · teardown recsys deeplearning
SF Big Analytics - System Design for RecSys & Search
Why real-time RecSys? What does the system design look like in industry? How to build an MVP?
13 Jul 2021 · 1 min · recsys machinelearning production
System Design for Recommendations and Search
Breaking it into offline vs. online environments, and candidate retrieval vs. ranking steps.
27 Jun 2021 · 11 min · teardown production engineering recsys 🔥
Patterns for Personalization in Recommendations and Search
A whirlwind tour of bandits, embedding+MLP, sequences, graph, and user embeddings.
13 Jun 2021 · 23 min · teardown recsys machinelearning deeplearning
Real-time Machine Learning For Recommendations
Why real-time? How have China & US companies built them? How to design & build an MVP?
10 Jan 2021 · 19 min · teardown machinelearning recsys production 🔥
RecSys 2020 - Takeaways and Notable Papers
Emphasis on bias, more sequential models & bandits, robust offline evaluation, and recsys in the wild.
27 Sep 2020 · 14 min · recsys deeplearning production survey
Serendipity: Accuracy’s Unpopular Best Friend in Recommenders
What I learned about measuring diversity, novelty, surprise, and serendipity from 10+ papers.
DataScience SG Meetup - RecSys, Beyond the Baseline
Comparing baselines (matrix factorization) against novel approaches using graphs & NLP.
14 Jan 2020 · 1 min · recsys machinelearning
Beating the Baseline Recommender with Graph & NLP in Pytorch
Beating the baseline using Graph & NLP techniques on PyTorch, AUC improvement of ~21% (Part 2 of 2).
13 Jan 2020 · 15 min · recsys deeplearning nlp python
Building a Strong Baseline Recommender in PyTorch, on a Laptop
Building a baseline recsys based on data scraped off Amazon. Warning - Lots of charts! (Part 1 of 2).
06 Jan 2020 · 13 min · recsys deeplearning python