adxcreative / LEARNLinks
Official code of paper "LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application" (AAAI 2025 Oral)
☆23Updated 7 months ago
Alternatives and similar repositories for LEARN
Users that are interested in LEARN are comparing it to the libraries listed below
Sorting:
- [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."☆150Updated 11 months ago
- End-to-end Training for Multimodal Recommendation Systems☆154Updated 6 months ago
- A Large-scale Multimodal Dataset for recommender System☆156Updated 5 months ago
- ☆257Updated last year
- Paper List of Pre-trained Foundation Recommender Models☆362Updated last year
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆193Updated last year
- Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.☆121Updated last year
- Learnable Item Tokenization for Generative Recommendation (CIKM'24)☆80Updated 7 months ago
- This repository provides the code for implementing RPG described in our KDD'25 paper "Generating Long Semantic IDs in Parallel for Recomm…☆63Updated last month
- A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).☆208Updated 7 months ago
- ☆126Updated last year
- ☆23Updated 7 months ago
- Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System☆96Updated 10 months ago
- ☆255Updated last year
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆81Updated 2 years ago
- Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"☆98Updated 9 months ago
- ☆36Updated last year
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆164Updated 7 months ago
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆493Updated last month
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆194Updated 6 months ago
- [SIGIR'25] Code of "Generative Recommender with End-to-End Learnable Item Tokenization".☆18Updated 4 months ago
- [Up-to-date] A curated list of resources on cold-start recommendations.☆209Updated 3 weeks ago
- Official implementation of paper "Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment"☆36Updated 4 months ago
- ☆63Updated last year
- ☆53Updated 10 months ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆56Updated last year
- [Pytorch] Unofficial Implementation of "Recommender Systems with Generative Retrieval"☆53Updated last month
- GRID: Generative Recommendation with Semantic IDs☆244Updated this week
- The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".☆111Updated 3 weeks ago
- The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems☆416Updated this week