AutoX_Recommend, 排序模型, Lightgbm binary
Open
AutoX_Recommend
call-for-contributions
- Dominant language
- Jupyter Notebook
- Stars
- 551
- Forks
- 143
- PR merge metrics
- No merged PRs in 30d
Description
代码结构可以参考: https://github.com/4paradigm/AutoX/blob/master/autox/autox_recommend/recall_and_rank/ranker/ranker.py
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue references a specific file for code structure: autox/autox_recommend/recall_and_rank/ranker/ranker.py. Start by examining this file to understand the existing ranking model implementation. Research LightGBM binary classification for recommendation systems. 'Done' likely means implementing or integrating a LightGBM-based binary ranking model into the AutoX recommendation pipeline.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- ai, data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100