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Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviors — arXiv:2609.18203

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.18203
License (as archived): CC0-1.0
Archived: 2026-10-15T13:49:22.330Z
SHA-256 of the archived text: c8a6066384305fbdc249bea213e3f6a17fd36fc8c5cd3dc1329f6561a331e31b
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How to cite

Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviors — arXiv:2609.18203 — arXiv (en), https://arxiv.org/abs/2609.18203 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_6bcaf486f5fa (Metraipolis archive dc_6bcaf486f5fa, sha256 c8a6066384305fbdc249bea213e3f6a17fd36fc8c5cd3dc1329f6561a331e31b)

BibTeX

@misc{dc6bcaf486f5fa,
  title = {Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviors — arXiv:2609.18203},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.18203},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_6bcaf486f5fa; sha256 c8a6066384305fbdc249bea213e3f6a17fd36fc8c5cd3dc1329f6561a331e31b},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.18203. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Human values are deep motivational orientations that shape human behaviors. In e-commerce, they reveal the stable drivers behind users' purchase decisions. Compared with short-term interests, consumer values better explain how users evaluate products before purchase. However, consumer values are often implicit in complex and fragmented behavioral trajectories, leaving value measurement from e-commerce behaviors largely underexplored. To this end, we propose the Behavior-to-Value (B2V) task, which aims to identify consumer values from e-commerce behavioral trajectories. Centered on this task, we first construct the E-commerce Consumption Value Taxonomy (ECVT) and introduce B2V-Bench, the first B2V dataset and benchmark, based on anonymized Taobao behavioral logs. B2V-Bench consists of real-world purchase decision episodes, covering 25 types of purchase behaviors, along with corresponding consumer value orientations manifested in each episode. To improve consumer value measurement accuracy, we further present B2V-Verifier, a behavior-to-value measurement model based on Value Verification Tuning, which learns to assess whether behaviors provide sufficient evidence for each value inference. Experiments show that B2V-Verifier outperforms strong LLM baselines, improving multi-label classification by 34\%. The dataset and code will be publicly released upon acceptance.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-17 in cs.CL).
Categorie arXiv: Computation and Language (cs.CL) ; Machine Learning (cs.LG).
Pagina del lavoro: https://arxiv.org/abs/2609.18203 — 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 2026-10-15T13:48:24.304Z dalla pagina https://arxiv.org/catchup/cs.CL/2026-09-17?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).