sumitsidana / recsys_challenge_2020Links
This repository contains the code for 4th place solution for approach to RecSys Challenge 2020.
☆18Updated 4 years ago
Alternatives and similar repositories for recsys_challenge_2020
Users that are interested in recsys_challenge_2020 are comparing it to the libraries listed below
Sorting:
- ☆24Updated 3 years ago
- top8 KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall☆37Updated 2 years ago
- DataFountain第五届达观杯第4名方案☆12Updated 3 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago
- Top3 Solution for 2019 BAAI-Zhihu-Cup 知乎看山杯☆34Updated 5 years ago
- 人人都能看懂的轻量级解决方案☆16Updated 4 years ago
- 京东JDATA2019-用户对品类下店铺的购买预测☆18Updated 5 years ago
- KDD淘宝长尾推荐见https://tianchi.aliyun.com/competition/entrance/231785/information☆10Updated 4 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- Easy-to-use pytorch-based framework for RecSys models☆40Updated 4 years ago
- ☆52Updated 4 years ago
- 计算广告召回&模型&创意算法(A collection of research and application papers about Match, Ranking, Targeting and Creatives in Internet advertising.)☆16Updated last year
- A easy library for recommendation system or computational advertising☆22Updated 5 years ago
- This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked firs…☆71Updated 4 years ago
- ☆13Updated 2 years ago
- ICME2019&字节跳动 短视频内容理解与推荐竞赛rank14方案☆55Updated 3 years ago
- 一点资讯技术编程大赛CTR赛道 Top1☆26Updated 3 years ago
- Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP☆9Updated 2 years ago
- ☆15Updated last year
- WSDM2022留存预测挑战赛 第1名解决方案☆94Updated 3 years ago
- ‘京东杯’《用户对品类下的购买预测》-冠军团队‘AI你所想’解决方案☆24Updated 5 years ago
- papers we read about Recommendation Advertising & Search☆31Updated 4 years ago
- huawei digix 2020 competition baselines for ctr & recommand☆18Updated 4 years ago
- 2019年知乎看山杯第四名☆35Updated 5 years ago
- ☆15Updated 6 years ago
- 短视频内容理解与推荐竞赛☆83Updated 5 years ago
- 图灵联邦视频点击预测大赛线上第三-【ctr, embedding, 穿越特征】☆62Updated 5 years ago
- rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆45Updated 4 years ago
- This is the official code of GAR.☆22Updated 2 years ago
- A simple package about multi-task recommendation☆17Updated 4 years ago