ItemCF召回方法的并行
Open
AutoX_Recommend
call-for-contributions
- Dominant language
- Jupyter Notebook
- Stars
- 551
- Forks
- 143
- PR merge metrics
- No merged PRs in 30d
Description
This issue has no description.
Contributor guide
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Research direction
The issue title mentions parallelizing ItemCF recall in AutoX, a Python automl tool for tabular data. Look for ItemCF implementation in the codebase, likely in recommendation or collaborative filtering modules. Investigate existing data processing pipelines to identify where parallelism can be added, possibly using multiprocessing or distributed computing frameworks. Check test files for ItemCF to understand the expected behavior and ensure changes maintain correctness.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- data-engineering, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100