zikuanqi / tianchi-E-commerce
移动推荐算法,以阿里巴巴移动电商平台的真实用户-商品行为数据为基础,同时提供移动时代特有的位置信息,希望你能够挖掘数据背后丰富的内涵,为移动用户在合适的时间、合适的地点精准推荐合适的内容。
☆13Updated 4 months ago
Alternatives and similar repositories for tianchi-E-commerce:
Users that are interested in tianchi-E-commerce are comparing it to the libraries listed below
- 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☆36Updated 2 years ago
- ☆58Updated 8 months 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☆45Updated 4 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。☆55Updated last month
- 零基础入门推荐系统 - 新闻推荐 Top2☆209Updated 4 years ago
- all kinds of recommendation algorithms implement.☆123Updated 4 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…☆193Updated last year
- 推荐算法实战(Recommend algorithm)☆179Updated 8 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。☆55Updated last year
- 该项目使用经典的电影推荐数据集ml-100k并基于PyTorch实现《深度学习推荐系统(王喆著)》的部分经典模型☆12Updated last year
- 集成学习思维导图☆16Updated last year
- 基于 Pytorch 实现推荐系统相关的算法☆174Updated 3 years ago
- 深度学习与推荐系统学习,理论结合代码更香。☆116Updated 2 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。☆46Updated 2 years ago
- ☆26Updated 2 years ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆492Updated this week
- Beyond Co-occurrence: Multi-modal Session-based Recommendation☆27Updated 10 months ago
- Papers and resources about POI recommendation. | 兴趣点推荐相关论文、模型和资源。☆225Updated last year
- ☆93Updated 4 years ago
- 🎓Automatically Update Recommendation Papers Daily using Github Actions (Update Every 12th hours)☆29Updated this week
- 优质的推荐算法资源汇总☆129Updated 3 years ago
- 搜广推学习笔记:王树森“推荐系统”课程☆56Updated 4 months ago
- 使用MovieLens数据集实现了基于Auto Encoder(AE), Variational Auto Encoder(VAE), BERT的深度学习电影推荐系统☆70Updated 4 years ago
- 用来处理freebase, kb4rec, movielens它们数据集的项目☆34Updated 4 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☆50Updated 4 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☆595Updated 3 years ago
- Paper Reading list for Shilling Attack and Defense on Recommender Systems☆16Updated last month
- A curated list of awesome resources about multimodal recommender systems.☆345Updated 2 months ago
- Summary of social recommendation papers and codes☆214Updated 2 years ago
- ☆14Updated last year