[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
☆33Mar 16, 2021Updated 4 years ago
Alternatives and similar repositories for TaNP
Users that are interested in TaNP are comparing it to the libraries listed below
Sorting:
- Meta-learning-based Cold-Start Sequential Recommendation☆16May 25, 2021Updated 4 years ago
- source code for “Preference-Adaptive Meta-Learning for Cold-Start Recommendation” (IJCAI 2021)☆17Dec 28, 2021Updated 4 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Apr 28, 2020Updated 5 years ago
- ☆10Jul 28, 2020Updated 5 years ago
- Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020☆19Jul 31, 2020Updated 5 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆54Aug 19, 2020Updated 5 years ago
- Bayesian Personalized Ranking Model with Attribute-to-Feature Mappings for Cold-Start Recommendation☆17Oct 27, 2015Updated 10 years ago
- Papers, codes , and framewroks that used in Recommender System to solve code-start challenge problem.☆25Aug 17, 2021Updated 4 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Dec 8, 2022Updated 3 years ago
- Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Brian…☆52Jan 10, 2022Updated 4 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Aug 9, 2021Updated 4 years ago
- Contrastive Learning for Cold-start Recommendation☆72Nov 5, 2021Updated 4 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Nov 23, 2021Updated 4 years ago
- Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"☆180Jan 11, 2024Updated 2 years ago
- ☆24Jun 5, 2021Updated 4 years ago
- The resources for the paper "User Modeling with Click Preference and Reading Satisfaction for News Recommendation"☆11Jan 17, 2021Updated 5 years ago
- Share Some Recommender System Paper I read.☆70Jun 26, 2021Updated 4 years ago
- Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.☆58Jun 27, 2022Updated 3 years ago
- ☆10Jul 30, 2019Updated 6 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Mar 31, 2020Updated 5 years ago
- Hierarchical User Intent Graph Network for Multimedia Recommendation☆10Mar 28, 2022Updated 3 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆35Aug 12, 2024Updated last year
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Jul 25, 2024Updated last year
- Code for our SIGIR 2021 short paper "Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation."☆27Oct 8, 2021Updated 4 years ago
- Adversarial Item Promotion in visually-aware recommenders☆16Sep 3, 2021Updated 4 years ago
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Jan 12, 2024Updated 2 years ago
- Code of our paper "Attribute Graph Neural Networks for Strict Cold Start Recommendation" accepted by TKDE 2020.☆15Dec 11, 2020Updated 5 years ago
- Codebase for RecSys 2024 paper, The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation☆19Aug 7, 2024Updated last year
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Oct 29, 2019Updated 6 years ago
- ☆37Sep 24, 2024Updated last year
- WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems☆35Oct 18, 2019Updated 6 years ago
- Dataset and code for “Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction”☆16Aug 23, 2021Updated 4 years ago
- ☆14Jun 28, 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
- InternalandContextualAttentionNetworkforCold-startMulti-channel MatchinginRecommendation☆17Jun 14, 2021Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Sep 16, 2022Updated 3 years ago
- ☆33Dec 13, 2020Updated 5 years ago
- A curator of Sequential Recommendation algorithms☆20Oct 15, 2020Updated 5 years ago
- Pre-training and Transfer learning papers for recommendation☆18Mar 9, 2024Updated last year