Similar_users / get_user_representations
- Dominant language
- Python
- Stars
- 5.1k
- Forks
- 724
- PR merge metrics
- No merged PRs in 30d
Description
Hi, I just some develop customizing recommend model based on Lightfm.
it almost same things(movielense), but if input data don`t have user_id and only have purchase record(like movie-title, movie-rating),
how i predict only have purchase_record?
i want find out similar user_id from purchase record.
if any tiny tips you have or want more info, i waiting always on this comments
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by clarifying whether the request is for predicting with purchase records that lack user IDs or for finding similar users from those records. The issue names no files, tests, or entry points, so the scope and a concrete definition of done need to be established before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100