Recommend for cold start user
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- Dominant language
- Python
- Stars
- 5.1k
- Forks
- 724
- PR merge metrics
- No merged PRs in 30d
Description
I trained a model using twitter data, my objective is recommend KOLs for projects in web3 community. When building model, i used followers, category and rawDescription of projects to build user_feature. Now, i want to predict for new project (not in interaction) with three above feature. Please help me!
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file or test is named. First clarify whether this is a request for usage guidance or a missing cold-start capability, then inspect LightFM's hybrid-feature handling for unseen projects using followers, category, and rawDescription. Done should be defined as either documented usage or a reproducible implementation and test for predicting a new project.
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
- 20/100