nicolaivicol / otto-recommenderLinks
Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system
☆22Updated 2 years ago
Alternatives and similar repositories for otto-recommender
Users that are interested in otto-recommender are comparing it to the libraries listed below
Sorting:
- kaggle比赛—otto多目标推荐系统源代码,单模 型分数0.594,LB排名30左右☆78Updated 2 years ago
- 3rd Place Solution for the OTTO – Multi-Objective Recommender System Competition☆157Updated 2 years ago
- 推荐系统八股160问☆236Updated 9 months ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆356Updated 4 years ago
- 机器学习,深度学习八股☆187Updated 9 months ago
- kaggle Otto Recommender system code, single model LB0.596, about rank 22☆35Updated 2 years ago
- deepmatch模型使用天池新闻推荐大赛数据☆18Updated last year
- 天池大赛——新闻推荐场景下的用户行为预测挑战赛,SOLO赛,B榜排名5/5338☆67Updated 4 years ago
- 基于王喆老师的深度学习推荐系统书籍,主要用pytorch实现 了里面涉及到的算法,有很少数量的算法是用tf2.0实现的。在这个过程中也参考很多大佬的复现代码,希望自己能持续学习 多多去实现。☆51Updated 3 years ago
- PyTorch(1.6+) implementation of https://github.com/kang205/SASRec☆540Updated 3 months ago
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆688Updated 3 months ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆36Updated 9 months ago
- 用pytorch 方法复现了二十多个经典的推荐算法论文,其中包含排序论文和推荐召回论文,并在demo里面选了一个召回模型和排序模型的运行示例。☆84Updated 2 years ago
- 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
- 基于天池新闻推荐赛数据集实现的新闻推荐☆38Updated last year
- 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/…☆694Updated this week
- 天池学习赛 零基础入门推荐系统 正式赛 第三名(0.2592) 开源代码☆61Updated 4 years ago
- https://tianchi.aliyun.com/competition/entrance/531842/introduction☆45Updated 3 years ago
- 推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.☆2,033Updated last month
- 推荐算法实战(Recommend algorithm)☆223Updated 6 months ago
- ☆12Updated last year
- GRID: Generative Recommendation with Semantic IDs☆529Updated 3 months ago
- ☆110Updated 2 years ago
- 🔥🔥🔥 基于 PyTorch Lightning 和 MIND 数据集的模块化新闻推荐系统框架。实现了从特征工程到召回 (DSSM) 与排序 (Deep, DCN, WideDeep, FM) 的完整链路。☆40Updated 2 weeks ago
- 《互联网大厂推荐算法实战》资料库☆311Updated 2 years ago
- 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。☆99Updated 10 months ago
- This is a repository of public data sources for Recommender Systems (RS).☆1,145Updated last year
- 练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等☆668Updated 3 years ago
- 总结了小红书博主算法小小怪在学习LLM和推荐系统的笔记☆80Updated 2 weeks ago
- 优质的推荐算法资源汇总☆173Updated 4 years ago