---
id: "/non-llm-neural-networks-ml-foundations/recommenders/"
title: "recommenders: 10 curated resources"
url: "https://skillissue.dev/non-llm-neural-networks-ml-foundations/recommenders/"
---

# recommenders: 10 curated resources

recommenders

[Beginner](/non-llm-neural-networks-ml-foundations/beginner/index.md) [Intermediate](/non-llm-neural-networks-ml-foundations/intermediate/index.md) [Advanced](/non-llm-neural-networks-ml-foundations/advanced/index.md) [Expert](/non-llm-neural-networks-ml-foundations/expert/index.md)

10 resources · page 1 of 1

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### [facebookresearch/dlrm](/foundations/llm-fundamentals/dlrm/index.md)

by [Meta Research](https://opensource.fb.com)

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

entity repo West en 

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### [Generative Recommenders (HSTU)](/foundations/llm-fundamentals/generative-recommenders-hstu/index.md)

by [meta-recsys](https://github.com/meta-recsys)

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

entity repo West en 

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### [Lviv Polytechnic: recommendations on applying generative AI](/foundations/llm-fundamentals/lviv-polytechnic-recommendations-on-applying-generative-ai/index.md)

by [Lviv Polytechnic National University](https://lpnu.ua/)

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

entity standard-policy Ukraine uk|en 

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### [RecBole](/foundations/llm-fundamentals/recbole/index.md)

by [RUCAIBox](https://aibox.ruc.edu.cn/)

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

entity repo China/global en 

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### [Recommenders](/foundations/llm-fundamentals/recommenders/index.md)

by [Recommenders team](https://github.com/recommenders-team)

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

entity repo Global en 

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### [X recommendation algorithm](/foundations/llm-fundamentals/x-recommendation-algorithm/index.md)

by [X (fka Twitter)](https://github.com/twitter)

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

entity repo West en 

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### [OECD AI Recommendation (OECD-LEGAL-0449)](/foundations/llm-fundamentals/oecd-ai-recommendation-oecd-legal-0449/index.md)

by [OECD](https://www.oecd.org/)

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

Intermediate learning_resource docs Global en|fr 

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### [Deep Learning Recommendation Model for Personalization and Recommendation Systems (DLRM)](/foundations/llm-fundamentals/dlrm-2/index.md)

by [Maxim Naumov et al. (Meta)](https://ai.meta.com/)

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

Advanced–Expert learning_resource paper US 

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### [Neural Collaborative Filtering](/foundations/llm-fundamentals/neural-collaborative-filtering/index.md)

by [Xiangnan He et al. (National University of Singapore)](https://www.nus.edu.sg/)

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

Advanced–Expert learning_resource paper CN zh 

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### [Wide & Deep](/foundations/llm-fundamentals/wide-deep/index.md)

by [Heng-Tze Cheng et al. (Google)](https://ai.google/)

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

Advanced–Expert learning_resource paper West en 

[Plain-text Markdown copy](/non-llm-neural-networks-ml-foundations/recommenders/index.md)
