Tag:
recsys
(20)
SearchImproving Recommendation Systems & Search in the Age of LLMs
Model architectures, data generation, training paradigms, and unified frameworks inspired by LLMs.
Push Notifications: What to Push, What Not to Push, and How Often
Sending helpful & engaging pushes, filtering annoying pushes, and finding the frequency sweet spot.
24 Dec 2023 Ā· 18 min Ā· teardown recsys machinelearning production
More Design Patterns For Machine Learning Systems
9 patterns including HITL, hard mining, reframing, cascade, data flywheel, business rules layer, and more.
23 Apr 2023 Ā· 20 min Ā· machinelearning engineering production recsys
RecSys 2022: Recap, Favorite Papers, and Lessons
My three favorite papers, 17 paper summaries, and ML and non-ML lessons.
02 Oct 2022 Ā· 14 min Ā· recsys engineering production
RecSys 2022 Keynote - Is the Juice Worth the Squeeze?
Invited keynote at the Workshop for Online Recommender Systems and User Modeling (ORSUM)
23 Sep 2022 Ā· 2 min Ā· recsys engineering production
Bandits for Recommender Systems
Industry examples, exploration strategies, warm-starting, off-policy evaluation, and more.
08 May 2022 Ā· 14 min Ā· 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 Ā· 7 min Ā· recsys
Counterfactual Evaluation for Recommendation Systems
Thinking about recsys as interventional vs. observational, and inverse propensity scoring.
10 Apr 2022 Ā· 8 min Ā· recsys eval machinelearning
RecSys 2021 - Papers and Talks to Chew on
Simple baselines, ideas, tech stacks, and packages to try.
03 Oct 2021 Ā· 5 min Ā· 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 Ā· 1 min Ā· recsys machinelearning production
Reinforcement Learning for Recommendations and Search
Focusing on long-term rewards, exploration, and frequently updated item.
05 Sep 2021 Ā· 13 min Ā· 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 Ā· 1 min Ā· 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 Ā· 13 min Ā· teardown production engineering recsys š„
Patterns for Personalization in Recommendations and Search
A whirlwind tour of bandits, embedding+MLP, sequences, graph, and user embeddings.
13 Jun 2021 Ā· 25 min Ā· 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 Ā· 21 min Ā· teardown machinelearning recsys production š„
RecSys 2020: Takeaways and Notable Papers
Emphasis on bias, more sequential models & bandits, robust offline evaluation, and recsys in the wild.
27 Sep 2020 Ā· 16 min Ā· recsys deeplearning production survey
Serendipity: Accuracyās 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 Ā· 2 min Ā· 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 Ā· 17 min Ā· recsys deeplearning nlp python š
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 Ā· 14 min Ā· recsys deeplearning python š
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