fajieyuan Goto Github PK

2022-nips-tenrec

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

alphafold-beyond-structure

Using AlphaFold protein language model to predict protein functions

anonymous-tcf

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

awesome-generative-recsys

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

awesome-llm-for-recsys

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

awesome-llm4rs-papers

Large Language Model-enhanced Recommender System Papers

awesome-recommend-system-pretraining-papers

Paper List for Recommend-system PreTrained Models

bert

TensorFlow code and pre-trained models for BERT

cikm2016-lambdafm

LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates

cprec

A Generic Network Compression Framework for Sequential Recommender Systems

cross-domain-recommendation

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

datasets-for-recommender-systems

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

elmo

ELMo: Embeddings from Language Models. Using, visualizing and understanding EMLo by examples!

fajieyuan.github.io

fbgd

fBGD: Learning Embeddings From Positive Unlabeled Data with BGD

icv-sbr

Benchmarking of Session-based Recommendation Approaches

idforrec

Is ID embedding necessary for multimodal recommender system？

learn_embedding_size

recommender system, embedding size compression, automatic

lifelong_learning_user_representation

learning universal user representation with lifelong learning mechanism for recommender systems

llm-recsys

llm4rec-awesome-papers

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

multimodalrecsys

A curated list of awesome resources about multimodal recommender systems.

naacl-hlt-2019

NAACL-HLT 2019 Website

pretrain_recommend_transfer

迁移学习，预训练，表征学习，跨域推荐，冷启动，用户画像

recommendation-systems-without-explicit-id-features-a-literature-review

Large pre-trained Foundation recommender models

recommendation_dataset_pretraining

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

recommendation_session_based_ultradeep

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

recommendation_transfer_learning_pretraining

Pre-training and Transfer learning papers for recommendation

recsyspapers

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.