https://github.com/ChuanyuXue/CIKM-2019-AnalytiCup

1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
https://github.com/ChuanyuXue/CIKM-2019-AnalytiCup

cikm datamining kaggle-competition recommender-system tianchi

Last synced: 3 months ago
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1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

• Host: GitHub
• URL: https://github.com/ChuanyuXue/CIKM-2019-AnalytiCup
• Owner: ChuanyuXue
• License: mit
• Created: 2019-11-07T03:08:44.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-03-23T15:32:29.000Z (8 months ago)
• Last Synced: 2024-06-24T05:51:58.439Z (5 months ago)
• Topics: cikm, datamining, kaggle-competition, recommender-system, tianchi
• Language: Jupyter Notebook
• Homepage:
• Size: 32.3 MB
• Stars: 230
• Watchers: 3
• Forks: 49
• Open Issues: 1
• Metadata Files:
  • Readme: README.txt
  • License: LICENSE

Awesome Lists containing this project

• StarryDivineSky - ChuanyuXue/CIKM-2019-AnalytiCup - CIKM挑战赛，超大规模推荐之用户兴趣高效检索赛道 冠军解决方案 ,召回阶段基于 Item CF 相似性做召回( item-item 相似性),排序阶段,最终使用了 Catboost 和 Lightgbm 建模。 (其他_推荐系统 / 网络服务_其他)

README

        
This repository contains the 1-st solution for the CIKM 2019 EComm AI

- Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation Challenge.

Email: [email protected]