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GroupRec — RecSys 2026 demo submission

Patrik Dokoupil, Ludovico Boratto, and Ladislav Peska. GroupRec: A Unified Toolkit for Reproducible and Inspectable Group Recommendation Research. Demo track — under review at RecSys 2026.

This page is a reviewer-facing tour of the demo. The star of the demonstration is the interactive inspector: a live, in-browser view of a group recommendation being produced, where every displayed number is a genuine call into the library.

Open the inspector ↗ How it's built GitHub

What the demo shows

  • Real, not mocked. Rankings come from GroupRecommender (aggregators) and GroupIM.group_scores (deep model). Groups are sampled with gr.groups.synthetic and their interactions derived — not simulated — via gr.groups.derive_group_interactions.
  • Steerable & inspectable. Per-member influence sliders reweight the aggregation / the model's attention pooling; a Top-K SAE explanation layer surfaces each member's most distinctive latent concepts.
  • Self-contained. The whole thing is computed offline and baked into a single HTML file — no server, no API calls at view time.

Reproduce it

pip install grouprec[torch]
grouprec-build-inspector --out group_rec_inspector.html

Full write-up of every framework call and every displayed subset: Interactive inspector — how it's built.

The library behind the demo