Getting top users for an item
Open
- Dominant language
- Python
- Stars
- 5.1k
- Forks
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Description
We have an use case where we need to get top n users for an item. We have an trained lightfm model, can we use the scores for a particular user and item using predict function and sort users based on that?
Contributor guide
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Research direction
Start with the LightFM predict API and its documentation to determine whether scores can be computed for users against one item. The issue does not name a file, test, or acceptance criteria; done would require a decided approach and documented or tested support for retrieving the top users for an item.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100