SLIM model

Open
#103 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python

Research direction

Read the linked SLIM paper to understand the proposed recommender method, then inspect RecTools’ existing recommendation algorithms for a suitable entry point. The issue names no files, tests, or acceptance criteria; done would mean implementing and validating a SLIM model, but its expected behavior and scope need clarification.

Written by the indexing model from the issue text.

Description

enhancement
Feature Description

Realisation of SLIM: Sparse Linear Methods for Top-N Recommender Systems

Why this feature?

Strong collaborative filtering baseline

Additional context

No response

Dominant language
Python
Stars
457
Forks
55
PR merge metrics
No merged PRs in 30d

Getting set up

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from MTSWebServices/RecTools

All issues in MTSWebServices/RecTools

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.