nicolaivicol / otto-recommender
Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system
☆12Updated 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:
- 3rd Place Solution for the OTTO – Multi-Objective Recommender System Competition☆125Updated 2 years ago
- 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☆47Updated 2 years ago
- ☆93Updated 2 years ago
- ☆22Updated 2 years ago
- kaggle Otto Recommender system code, single model LB0.596, about rank 22☆25Updated 2 years ago
- deepmatch模型使用天池新闻推荐大赛数据☆12Updated 7 months 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。☆47Updated 2 years ago
- 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☆48Updated 4 years ago
- 🥈 Silver Medal Solution to Kaggle H&M Personalized Fashion Recommendations☆72Updated 2 years ago
- 基于 Pytorch 实现推荐系统相关的算法☆178Updated 3 years ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆244Updated 4 years ago
- I share my solution for the Otto Competition, scoring LB 0.601, using Reranker, Transformers and GRU☆28Updated 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…☆207Updated last year
- ☆97Updated 4 years ago
- 主流推荐系统Rank算法的实现☆245Updated last year
- 《互联网大厂推荐算法实战》资料库☆281Updated 2 years ago
- 推荐算法实战(Recommend algorithm)☆193Updated last week
- My 20th Place Solution of Kaggle OTTO – Multi-Objective Recommender System Competition☆41Updated 2 years ago
- 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☆52Updated 4 years ago
- 深度学习与推荐系统学习，理论结合代码更香。☆126Updated 2 years ago
- PyTorch(1.6+) implementation of https://github.com/kang205/SASRec☆415Updated last month
- 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。☆72Updated 2 months ago
- 机器学习，深度学习八股☆46Updated last month
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆518Updated 3 weeks ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆314Updated 2 years ago
- 基于netflix prize 和 H&M开源数据集，从零开始构建企业级推荐系统。☆87Updated 4 months ago
- Several sequential recommended models implemented by tenosrflow1.x☆119Updated 3 years ago
- SASRec: Self-Attentive Sequential Recommendation☆796Updated last year
- 推荐系统之深度学习模型，框架采用tensorflow2☆58Updated 3 years ago
- 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☆611Updated 3 years ago