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Conversational Recommendation over Live E-Commerce Catalogues with Self-Refreshing Retrieval — arXiv:2608.27006

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.27006
License (as archived): CC0-1.0
Archived: 2026-10-17T17:26:38.036Z
SHA-256 of the archived text: 58454612025d47997d6cfea3b10d140f970cd015407cf9f2ec8f28785645c8c8
Stable URL of this page: https://metraipolis.com/documento/dc_795eff95439e

How to cite

Conversational Recommendation over Live E-Commerce Catalogues with Self-Refreshing Retrieval — arXiv:2608.27006 — arXiv (en), https://arxiv.org/abs/2608.27006 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_795eff95439e (Metraipolis archive dc_795eff95439e, sha256 58454612025d47997d6cfea3b10d140f970cd015407cf9f2ec8f28785645c8c8)

BibTeX

@misc{dc795eff95439e,
  title = {Conversational Recommendation over Live E-Commerce Catalogues with Self-Refreshing Retrieval — arXiv:2608.27006},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.27006},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_795eff95439e; sha256 58454612025d47997d6cfea3b10d140f970cd015407cf9f2ec8f28785645c8c8},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.27006. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Conversational recommender systems based on large language models (LLMs) are usually evaluated on static, pre-indexed item collections, yet e-commerce catalogues change continuously as products are added or removed, repriced, and restocked. We present a merchant-agnostic, multi-turn conversational shopping assistant that operates over such live catalogues. Its central component is a self-refreshing retriever that ingests a merchant product feed, enriches the records, and synchronizes them into a vector index. On each run, per-item hashes identify which products are new, changed, deleted, or unchanged, so only the delta is processed rather than rebuilding the whole catalogue. A controller-based dialogue layer consumes this index, using an LLM only for intent classification and preference elicitation while retrieval, reranking, and diversity selection run as dedicated functions. Our demonstration is a WhatsApp shopping assistant in which catalogue changes reach the recommendations after the next successful sync. A live chatbot, documentation, and a recorded walkthrough are available at this https URL .

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-08-28 in cs.IR).
Categorie arXiv: Information Retrieval (cs.IR).
Pagina del lavoro: https://arxiv.org/abs/2608.27006 — 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 2026-10-17T17:18:28.087Z dalla pagina https://arxiv.org/catchup/cs.IR/2026-08-28?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).