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Controllable and Content Based Recommendations

CCBR builds recommendations from textual user profiles via content-derived text bottlenecks, enabling controllable multimodal steering with competitive accuracy across image, audio, and video datasets.

Firat Oncel, Jihoon Jeong, Emiliano Penaloza, Mirco Ravanelli and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5