cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets
☆46Mar 25, 2024Updated 2 years ago
Alternatives and similar repositories for cross-domain-recommendation
Users that are interested in cross-domain-recommendation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29May 26, 2022Updated 4 years ago
- DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning…☆17Feb 26, 2024Updated 2 years ago
- This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"☆29Feb 26, 2024Updated 2 years ago
- Pre-training and Transfer learning papers for recommendation☆18Mar 9, 2024Updated 2 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This is a library built upon RecBole for cross-domain recommendation algorithms☆116Mar 27, 2024Updated 2 years ago
- A cross domain recommendation system that utilizes movie lens data set.☆16Dec 30, 2019Updated 6 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆34Dec 7, 2022Updated 3 years ago
- ☆26Jun 9, 2022Updated 4 years ago
- sigir2019_π-Net: A Parallel Information-sharing Network for Shared account Cross-domain Sequential Recommendations☆22Jun 7, 2021Updated 5 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆46Apr 8, 2022Updated 4 years ago
- Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System☆108Oct 6, 2024Updated last year
- papers of universal user representation learning for recommendation☆25Mar 1, 2024Updated 2 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆37Aug 5, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- MemRec☆71Mar 17, 2026Updated 3 months ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆20May 5, 2020Updated 6 years ago
- This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an opti…☆81Jun 5, 2023Updated 3 years ago
- A repository listing important datasets for multimodal recommender systems☆34Mar 20, 2024Updated 2 years ago
- Uses Collaborative Filtering and NLP to recommend Books based on the Movie liking of the user.☆21Dec 5, 2018Updated 7 years ago
- [Information Systems-2024] The official implemention of ACMR (Bert4XMR).☆11Sep 22, 2024Updated last year
- [ACM MM 2021] Official Implementation for Contrastive Learning for Cold-start Recommendation☆72Apr 6, 2026Updated 3 months ago
- SHT, KDD 2022☆54May 1, 2023Updated 3 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆207Mar 15, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for my ORSUM, ACM RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation☆21Mar 16, 2024Updated 2 years ago
- ☆17Feb 13, 2022Updated 4 years ago
- The implement of LLMTreeRec☆14Dec 9, 2024Updated last year
- Multi-Behavior Recommendation-Papers☆36May 12, 2025Updated last year
- 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
- End-to-end Training for Multimodal Recommendation Systems☆169Feb 2, 2025Updated last year
- code for kdd feasibiiity☆12Jul 17, 2023Updated 2 years ago
- A Collection of Public Recommender System Dataset☆11Feb 10, 2021Updated 5 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Mar 15, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆24Jun 5, 2021Updated 5 years ago
- ☆307Aug 28, 2024Updated last year
- Paper List of Pre-trained Foundation Recommender Models☆366Aug 12, 2024Updated last year
- ☆30Aug 13, 2024Updated last year
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Dec 8, 2022Updated 3 years ago
- Faithfully Explainable Recommendation via Neural Logic Reasoning☆16May 3, 2021Updated 5 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆23Oct 21, 2021Updated 4 years ago