AutoX_Recommend, Item特征
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/feature_engineer/user_feature_engineer.py
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue references a user feature engineering file in the recall_and_rank module. Start by examining the linked file to understand the existing feature engineering pattern. Then, determine what 'Item特征' (item features) should be added and where they fit in the AutoX_recommend pipeline. Check for tests or examples of feature engineering in the repository to see the expected output format.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100