clabrugere / wukong-recommendation
Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.
☆61Updated 2 months ago
Alternatives and similar repositories for wukong-recommendation:
Users that are interested in wukong-recommendation are comparing it to the libraries listed below
- ☆41Updated 2 months ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 3 years ago
- The code of CL4CTR☆48Updated last year
- A curated collection of recommendation datasets with trackable dataset IDs☆50Updated last month
- ☆39Updated 5 months ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆78Updated 3 years ago
- ☆40Updated 4 years ago
- ☆22Updated last month
- ☆37Updated last year
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Updated 2 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- ☆61Updated 3 years ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆48Updated 7 months ago
- ☆17Updated 7 months ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆55Updated 3 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 4 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆36Updated 3 years ago
- About Code Release for "On the Embedding Collapse When Scaling Up Recommendation Models" (ICML 2024)☆19Updated 7 months ago
- Implementation of the SIGIR 2020 paper "Automated Embedding Size Search in Deep Recommender Systems"☆27Updated 4 years ago
- Dynamic Fair Rankings☆85Updated last year
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆74Updated 2 years ago
- 在常规推荐系统算法和系统双优化的范式下,一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合,提出了OneRec算法,希望通过平台或外部各种各样的信息来进行知识集成,打破数据孤岛,极大扩充推荐的“Extra World Knowl…☆112Updated last week
- ☆18Updated 7 months ago
- ☆236Updated 6 months ago
- ☆11Updated 3 years ago
- A box of core libraries for recommendation model development☆91Updated 4 months ago
- Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.☆67Updated last month
- [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."☆88Updated 6 months ago
- The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Scie…☆34Updated last year
- Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"☆63Updated last year