activity
20202026
most citedA Survey on Intent-aware Recommender Systems

25 citations · 42 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.CV2026

Grounding Free-Form Instructions for Fashion Complementary Image Generation

Matteo Attimonelli, Claudio Pomo, Alessandro De Bellis +3

Fashion complementary image generation (CIG) aims to create garments that stylistically match a seed item based on user intent, making it a natural multimodal grounding problem whe…

cs.AI2026

Nudging Sustainable Choices through LLM-Generated Recommendation Explanations

Haya Halimeh, Dietmar Jannach, Oliver Müller

Recommender systems mediate everyday consumption, offering a promising channel for encouraging sustainable choices. Prior research shows that explanations influence users' percepti…