Applied-Machine-Learning-Lab / GAVELinks
☆54Updated 6 months ago
Alternatives and similar repositories for GAVE
Users that are interested in GAVE are comparing it to the libraries listed below
Sorting:
- Minimal reproduction of OneRec☆852Updated 2 weeks ago
- [Pytorch] The repo contains the code for "FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets"☆170Updated last month
- the baseline for NeurIPS_Auto_Bidding_AIGB_Track☆85Updated last year
- 推荐系统论文算法实现,包括序列推荐,多任务学习,元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆251Updated 2 years ago
- 《互联网大厂推荐算法实战》资料库☆315Updated 2 years ago
- GRID: Generative Recommendation with Semantic IDs☆539Updated 3 months 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…☆221Updated last week
- 主流推荐系统Rank算法的实现☆277Updated 2 years ago
- The real-world Production Dataset from E-commerce platform Meituan☆30Updated last year
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆87Updated last year
- ☆211Updated 2 months ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆55Updated 2 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆30Updated last year
- ☆285Updated last year
- HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling☆574Updated 4 months ago
- Paper List of Pre-trained Foundation Recommender Models☆367Updated last year
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆186Updated 2 weeks ago
- codes for SORL framework for auto-bidding☆43Updated 5 months ago
- A Lighting Pytorch Framework for Recommendation Models (PyTorch推荐算法框架), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/…☆700Updated this week
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆696Updated 3 months ago
- 计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)☆182Updated last year
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆94Updated 3 months ago
- An Open Foundation Model and Benchmark to Accelerate Generative Recommendation☆425Updated this week
- A curated collection of recommendation datasets with trackable dataset IDs☆74Updated 11 months ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆81Updated last year
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆94Updated 3 years ago
- ☆34Updated 3 years ago
- ☆112Updated 4 years ago
- 📝 Summary of recommendation, advertising and search models.【推广搜技术汇总⭐】☆23Updated 2 years ago
- This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.☆68Updated 8 months ago