Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System

papers of universal user representation learning for recommendation

learning universal user representation with lifelong learning mechanism for recommender systems

Sequence-to-Sequence Generative Model for Sequential Recommender System

A list of awesome papers and resources of recommender system on large language model (LLM).

Is ID embedding necessary for multimodal recommender system？

A repository listing important datasets for multimodal recommender systems

Pre-training and Lifelong learning for User Embedding and Recommender System

Pre-training and Transfer learning papers for recommendation

cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets

Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing

[ICLR'24 spotlight] Saprot: Protein Language Model with Structural Alphabet

Paper List of Pre-trained Foundation Recommender Models

Tenrec dataset for multiple recommendation tasks

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

A Large-scale Multimodal Dataset for recommender System

Exploring Evolution-aware & free protein language models as protein function predictors

Using AlphaFold protein language model to predict protein functions

PyTorch code of "Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation"

迁移学习，预训练，表征学习，跨域推荐，冷启动，用户画像

recommender system, embedding size compression, automatic

DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation

A large-scale datasets for session-based recommendation and sequential recommendation

Code and data for the ACL'2021 paper "Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking"

Code and data for the SIGIR'2021 paper "Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification"