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Seeing the Context: Enhancing Recommender Systems with Image-Derived Contextual Signals — arXiv:2610.08407

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.08407
License (as archived): CC0-1.0
Archived: 2026-10-07T12:34:59.381Z
SHA-256 of the archived text: 3a57c02c691345712526fd6a55c1344250f31bb95058eddd03239fdd9000a9e8
Stable URL of this page: https://metraipolis.com/documento/dc_addfa8775674

How to cite

Seeing the Context: Enhancing Recommender Systems with Image-Derived Contextual Signals — arXiv:2610.08407 — arXiv (en), https://arxiv.org/abs/2610.08407 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_addfa8775674 (Metraipolis archive dc_addfa8775674, sha256 3a57c02c691345712526fd6a55c1344250f31bb95058eddd03239fdd9000a9e8)

BibTeX

@misc{dcaddfa8775674,
  title = {Seeing the Context: Enhancing Recommender Systems with Image-Derived Contextual Signals — arXiv:2610.08407},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.08407},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_addfa8775674; sha256 3a57c02c691345712526fd6a55c1344250f31bb95058eddd03239fdd9000a9e8},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.08407. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Contextual information, capturing the circumstances of a user-item interaction, is central to recommender systems. Prior work draws context from location, time, or reviews, but not images; multimodal recommender systems mainly use images to enrich item or user representations, not identify situational context. We propose a new representation of context derived from images, spanning physical, social, and modal categories learned via a vision-language model. We introduce ICE-Fuse, a pipeline for evaluating this representation that fuses these categories and integrates them into a context-aware recommender system, using TripAdvisor data and Review-aware Graph Contrastive Learning as the recommendation algorithm. Image context does not outperform established signals standalone, but improves them combined, indicating complementary information. Semantic analysis shows image- and review-derived context capture distinct aspects of the interaction, positioning images as complementary context.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.IR, nuovi lavori del giorno).
Categorie arXiv: Information Retrieval (cs.IR).
Pagina del lavoro: https://arxiv.org/abs/2610.08407 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-07T12:07:32.574Z dalla pagina https://arxiv.org/list/cs.IR/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).