arXiv (All)
open access
RealWorldShop: Benchmarking and Improving Conversational Shopping Agents in Real-World E-commerce
Large language models are reshaping ecommerce from static recommenders into interactive shopping assistants, yet real-world shopping requires session-level decision support: users reveal and revise constraints, coordinate multiple goals, and expect product-grounded recommendations over a full conver
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- On Evaluating and Improving Conversational Agents in Production#1116423
- On the Reliability of User-Centric Evaluation of Conversational Recommender Systems#1143689
- Official Review · ICLR 2026#787099
- $τ$-Rec: A Verifiable Benchmark for Agentic Recommender Systems#1116324
- AutoRecLab: Describe the Experiment, Get the Code!#1036252
Record · ID 1143941
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive