NVIDIA-Merlin / NVIDIA-Merlin/Merlin

Choose the dataset for the Quick-start for session-based recs

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Dominant language
Python
Stars
907
Forks
129
PR merge metrics
No merged PRs in 30d

Description

Alternatives:

  • REES46
  • Coveo (SIGIR Challenge)
  • Dressipi (does not have pointwise task)
  • Amazon KDD Cup (if publicly available?)

Contributor guide

Open the contributing guide

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.

Research direction

Compare REES46, Coveo, Dressipi, and the Amazon KDD Cup dataset, checking public availability and whether each supports the required pointwise session-based recommendation task. No file, test, or entry point is named; done means selecting and documenting one dataset for the Quick-start.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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