Overview

E-commerce research studies how digital marketplaces help buyers find products and sellers manage listings, pricing, advertising, and fulfillment. Common approaches include ranking and recommendation models, contextual bandits, causal and uplift modeling, inventory optimization, and multimodal language models for product understanding and shopping assistance. Systems are evaluated with offline interaction logs, online A/B tests, and interactive storefront benchmarks that test whether agents can complete shopping or business tasks. A central tension is balancing relevance and commercial outcomes with factual grounding, safety, latency, and cost; strong results on short tasks do not yet guarantee reliable long-term agent performance.

Latest papers

CardsList

69 papers4 papers in the last four weeks, down 43% on the four weeks before. 0.0% of all new papers.

  1. RITE: Evaluating End-to-End Resilience to Silent Tool Errors in E-Commerce Agentic Systems

    Oct 20, 2026Wenshuo Zhang, Yuquan Lin, Yushi Sun +6LLM Agent EvaluationLLM Agent Reliability

  2. WenSight-Decision-1 for Direct Decisions under E-commerce Rules

    Oct 19, 2026Mingwen Liu, Jun Sun, Sichen WangLLM Decision-MakingE-Commerce

  3. From Visual Feedback to Textual Reviews: A Multi-Agent Vision-Language Framework for Image-Grounded Review Assistance

    Sep 13, 2026Utsav Kumar Nareti, Ayush Bansal, Kumari Priya +4Grounded Text GenerationVLM Reasoning

  4. DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models

    Sep 2, 2026Yotam Eshel, Guy Hadad, Guy Feigenblat +3User Preference ModelingE-Commerce

  5. Web Price Extraction: State of the Art and an Adaptive Browserless Implementation

    Sep 1, 2026Evgeniia Kositsyna, Jorge Lloret-GazoDocument Information ExtractionE-Commerce

  6. How Prolific Sellers Self-Present: Dissecting the Communication Patterns of 1.6 Million Reverb Listings

    Aug 30, 2026David M. MarkowitzE-Commerce

  7. Designing for the Next Click: Bandits for Real-Time Page Layout

    Aug 30, 2026Bhavtosh Rath, Harshith Narasimhamurthy, Bob Eisinger +3Contextual BanditsE-Commerce

  8. Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation

    Aug 28, 2026Akshay Kekuda, Shreeranjani Srirangamsridharan, Ishan Bhatt +5Probability CalibrationSurvival Analysis

  9. Stageboost: Recommending Signals Based on Counterfactual Estimation

    Aug 27, 2026Darpan Singhal, Matan Mandelbrod, Tal Franji +3E-Commerce

  10. Business Arena: Benchmarking LLM Agents in a Realistic Marketplace

    Aug 9, 2026Yijun Pan, Yukun Lian, Kunyu Shi +5LLM Agent EvaluationAI Agent Benchmarks

  11. MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations

    Jul 31, 2026Qiming Shi, Yulong Tao, Linbo Jin +10LLM Agent EvaluationLong-Horizon Agent Evaluation

  12. The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous Commerce

    Jul 15, 2026Sai Srikanth Madugula, Peplluis Esteva de la Rosa, Daya ShankarHuman-AI AgreementE-Commerce

  13. Designing Agent-Ready Websites for AI Web Agents: A Framework for Machine Readability, Actionability, and Decision Reliability

    Jul 13, 2026Said Elnaffar, Farzad RashidiE-CommerceWeb Agents

  14. CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling

    Jul 6, 2026Zuwang He, Shihao Shu, Yuli Qu +8Causal Effect EstimationUplift Modeling

  15. Enhancement of E-commerce Sponsored Search Relevancy with LLM

    Jul 4, 2026Md Omar Faruk Rokon, Andrei Simion, Weizhi Du +3LLM Fine-TuningE-Commerce Search

  16. Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce

    Jun 23, 2026Filippos Ventirozos, Matthew ShardlowActive Information GatheringE-Commerce

  17. Predictive Analytics in E-Commerce for CustomerBehavior Forecasting using hybrid Ret-DNN withXGBoost Model

    Jun 16, 2026Degala Pushpa Sri, Mayank Atreya, Lakshmi. H +2E-CommerceUser Preference Modeling

  18. High-Frequency Pricing at Scale for E-Commerce

    Jun 11, 2026Stefan Birr, Tobias Huelden, Mones Raslan +7E-CommerceDynamic Pricing