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New DCEO framework optimizes e-commerce search for long-term user value

By PulseAugur Editorial · [2 sources] ·

Researchers have developed DCEO, a data-driven framework designed to optimize long-term user value in e-commerce search systems. This new approach aims to create item-level proxy scores that better align with ultimate objectives like cumulative purchases or gross merchandise value (GMV). DCEO utilizes an actor-critic framework to dynamically adjust fusion weights for multiple objectives, moving beyond manually tuned schemes. Deployed in a large-scale industrial e-commerce search system, DCEO demonstrated a 0.36% improvement in GMV over a 41-day A/B test. AI

IMPACT This framework could improve personalization and revenue in e-commerce search by better aligning ranking with long-term user value.

RANK_REASON The cluster contains a research paper published on arXiv detailing a new framework for e-commerce search optimization, including results from an online A/B test.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New DCEO framework optimizes e-commerce search for long-term user value

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The cluster contains a research paper published on arXiv detailing a new framework for e-commerce search optimization, including results from an online A/B test.
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2 independent sources
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43 days old
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Junzhao Zhang, Tao Zhang, Liren Yu, Feiyi Dong, Zhixuan Zhang, Dan Ou, Haihong Tang ·

    DCEO: Direct Causal Effect Optimization for Long-Term User Value Modeling in E-commerce Search

    arXiv:2608.25635v1 Announce Type: new Abstract: Industrial e-commerce search systems ultimately aim to optimize the user-level long-term objective, such as n-day cumulative purchases or gross merchandise value (GMV) per user. However, such objectives are defined at the user level…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Haihong Tang ·

    DCEO: Direct Causal Effect Optimization for Long-Term User Value Modeling in E-commerce Search

    Industrial e-commerce search systems ultimately aim to optimize the user-level long-term objective, such as n-day cumulative purchases or gross merchandise value (GMV) per user. However, such objectives are defined at the user level, whereas search ranking is based on item-level …

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