bytedance / HLLM
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
☆294Updated 5 months ago
Alternatives and similar repositories for HLLM:
Users that are interested in HLLM are comparing it to the libraries listed below
- Paper List of Pre-trained Foundation Recommender Models☆343Updated 7 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…☆115Updated last week
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆152Updated last week
- ☆240Updated 7 months ago
- An easy-to-use framework for large scale recommendation algorithms.☆117Updated this week
- Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (…☆951Updated last week
- 利用大模型赋能智能推荐,通过案例讲解大模型推荐算法原理,并且给出代码实现。☆53Updated last month
- ☆229Updated last year
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆183Updated last month
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆368Updated 4 months ago
- Large Language Model-enhanced Recommender System Papers☆656Updated last month
- 主流推荐系统Rank算法的实现☆233Updated last year
- [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."☆94Updated 6 months ago
- the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”☆166Updated 10 months ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆488Updated 2 weeks ago
- A curated list of resources on cold-start recommendations.☆151Updated last week
- An up-to-date, comprehensive and flexible recommendation library☆197Updated 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…☆193Updated last year
- End-to-end Training for Multimodal Recommendation Systems☆146Updated last month
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆311Updated 2 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆246Updated 3 years ago
- 《互联网大厂推荐算法实战》资料库☆265Updated last year
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆61Updated 3 months ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆145Updated 2 months ago
- Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System☆88Updated 5 months ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆49Updated last year
- PyTorch(1.6+) implementation of https://github.com/kang205/SASRec☆398Updated 5 months ago
- Bridging LLM and Recommender System.☆731Updated this week
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)☆250Updated 2 years ago
- OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems☆290Updated 3 weeks ago