This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"
☆29Feb 26, 2024Updated 2 years ago
Alternatives and similar repositories for ETL-master
Users that are interested in ETL-master are comparing it to the libraries listed below
Sorting:
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆37Aug 5, 2024Updated last year
- This is our implementation for the paper: Pan Li and Alexander Tuzhilin. "DDTCDR: Deep Dual Transfer Cross Domain Recommendation." Proce…☆58Feb 16, 2020Updated 6 years ago
- [WSDM 2023]Towards Universal Cross-Domain Recommendation☆29Dec 7, 2022Updated 3 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆42Apr 8, 2022Updated 3 years ago
- The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.o…☆27Nov 5, 2022Updated 3 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29May 26, 2022Updated 3 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆46Mar 25, 2024Updated last year
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆34Dec 7, 2022Updated 3 years ago
- ☆25Jun 9, 2022Updated 3 years ago
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆141Jul 17, 2023Updated 2 years ago
- The implementation of SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao,…☆48Dec 7, 2020Updated 5 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆110Mar 27, 2024Updated last year
- ☆11Jul 26, 2025Updated 7 months ago
- Code for my ORSUM, ACM RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation☆20Mar 16, 2024Updated last year
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆38Dec 7, 2022Updated 3 years ago
- M2GNN☆13Apr 16, 2023Updated 2 years ago
- An Embedding and Mapping framework for Cross-Domain Recommendation.☆49Aug 27, 2018Updated 7 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆35Aug 12, 2024Updated last year
- The paper list under Sequential Recommendation task☆14Oct 5, 2020Updated 5 years ago
- CoNet: Collaborative Cross Networks for Cross-Domain Recommendation☆20Sep 21, 2022Updated 3 years ago
- The implementation of our SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Z…☆18Nov 19, 2020Updated 5 years ago
- ☆21Feb 6, 2024Updated 2 years ago
- Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"☆20Nov 1, 2019Updated 6 years ago
- A cross domain recommendation system that utilizes movie lens data set.☆16Dec 30, 2019Updated 6 years ago
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆20Oct 8, 2024Updated last year
- Python scripts for studying bias in recommender systems☆19Mar 21, 2023Updated 2 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Nov 21, 2022Updated 3 years ago
- Multi-domain Recommendation with Adapter Tuning☆34Mar 21, 2024Updated last year
- Multi-Behavior Recommendation-Papers☆32May 12, 2025Updated 9 months ago
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆64Mar 18, 2024Updated last year
- 야자타임 (a.k.a. 야밤의 자연어처리 타임)☆27Mar 31, 2021Updated 4 years ago
- Papers related to federated learning for recommender system☆32Apr 25, 2021Updated 4 years ago
- [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation☆70May 9, 2023Updated 2 years ago
- ☆10Nov 18, 2022Updated 3 years ago
- Here, we provide mappings to DBpedia resources of items in well known datasets to evaluate recommender systems. This can allows practitio…☆32Dec 6, 2017Updated 8 years ago
- The purpose of this Personalized Music Recommendation Engine is to use reinforcement learning approach to build a music recommender syste…☆35May 8, 2018Updated 7 years ago
- These are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare & Medicaid Service…☆10Mar 12, 2018Updated 7 years ago
- Source code for paper "Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration" of NeurIPS 2019☆10Jan 25, 2024Updated 2 years ago
- The official implementation of EMNLP 2021 paper "#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention…☆11Feb 21, 2023Updated 3 years ago