Recommenders

10 resources · page 1 of 1

• facebookresearch/dlrm

  Creator not supplied; see original source.

  Meta DLRM GitHub repo: implementation of a deep learning recommendation model.

  Not applicable (entity) · unknown · unknown resource · en

• Generative Recommenders (HSTU)

  Creator not supplied; see original source.

  Meta generative-recommenders GitHub repo: code for HSTU generative recommendation from Actions Speak Louder than Words.

  Not applicable (entity) · unknown · unknown resource · en

• Lviv Polytechnic: recommendations on applying generative AI

  Creator not supplied; see original source.

  Lviv Polytechnic recommendations on applying generative AI in academic journals and conferences.

  Not applicable (entity) · unknown · unknown resource · uk|en

• RecBole

  Creator not supplied; see original source.

  RUCAIBox RecBole GitHub repo: unified library of recommendation algorithms for reproducible comparison.

  Not applicable (entity) · unknown · unknown resource · en

• Recommenders

  Creator not supplied; see original source.

  Recommenders GitHub repo: examples and utilities for building recommendation systems.

  Not applicable (entity) · unknown · unknown resource · en

• X recommendation algorithm

  Creator not supplied; see original source.

  twitter the-algorithm GitHub repo: source code of the X recommendation algorithm services.

  Not applicable (entity) · unknown · unknown resource · en

• OECD AI Recommendation (OECD-LEGAL-0449)

  Creator not supplied; see original source.

  OECD Recommendation of the Council on Artificial Intelligence, the source of the OECD AI Principles and AI system definition.

  Intermediate · unknown · unknown resource · en|fr

• Deep Learning Recommendation Model for Personalization and Recommendation Systems (DLRM)

  Creator not supplied; see original source.

  arXiv PDF of Meta's DLRM paper (2019), a deep learning recommendation model for personalisation.

  Advanced–Expert · unknown · unknown resource · und

• Neural Collaborative Filtering

  Creator not supplied; see original source.

  arXiv PDF of the Neural Collaborative Filtering paper (2017) for neural recommender systems.

  Advanced–Expert · unknown · unknown resource · zh

• Wide & Deep

  Creator not supplied; see original source.

  arXiv paper (2016) "Wide & Deep Learning for Recommender Systems", introducing Google's Wide & Deep recommender model.

  Advanced–Expert · unknown · unknown resource · en

Plain-text Markdown copy