fajieyuan

papers of universal user representation learning for recommendation

Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling

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

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

learning universal user representation with lifelong learning mechanism for recommender systems

Generative model for sequential recommendation based on Convolution Neural Networks (CNN))

Sequence-to-Sequence Generative Model for Sequential Recommender System

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

迁移学习，预训练，表征学习，跨域推荐，冷启动，用户画像

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Dataset and Benchmark for Multi-domain Recommendation, Sequential Recommendation, CTR prediction, Multi-task learning

Is ID embedding necessary for multimodal recommender system？

Pre-training and Transfer learning papers for recommendation

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

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

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Benchmarking of Session-based Recommendation Approaches

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

A curated list of Generative Recommender Systems (Paper & Code)

Large pre-trained Foundation recommender models

Large Language Model-enhanced Recommender System Papers

A curated list of awesome resources about multimodal recommender systems.

Paper List for Recommend-system PreTrained Models

A Generic Network Compression Framework for Sequential Recommender Systems

fBGD: Learning Embeddings From Positive Unlabeled Data with BGD

Revisiting Evolution-based & free protein language models

Using AlphaFold protein language model to predict protein functions

LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates