arXiv AI
Ottilie: A Socially Intelligent Virtual Host for Sales-Driven Live Commerce
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arXiv Computation and Language
Sep 17
"If I Had to Buy Just ONE: Galaxy S26 Ultra": Auditing AI-Generated Product Recommendations
arXiv:2609.18729v1 Announce Type: cross Abstract: Consumers increasingly use AI chatbots for advice on what to buy. With companies like OpenAI and Google monetising their AI through advertising, this...
arXiv AI
Aug 10
Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation
arXiv:2608. 06632v1 Announce Type: new Abstract: Industrial recommendation systems predominantly adopt a passive ranking paradigm that infers user preferences from implicit behavioral signals (e.
arXiv AI
Aug 20
Bridging Search and CRM: Productionizing AI Product Research Agents for Customer Re-Engagement
The paper introduces a production-ready framework that connects e‑commerce search and CRM systems via AI‑powered Product Research Agents. These agents detect users with exploratory purchase intent, perform multi‑agent research using behavioral data, external knowledge, and catalog information, and then send personalized product recommendations through WhatsApp. In a 23‑day deployment, the system sent about 15,000 notifications, achieving higher click‑through rates than standard campaigns and generating downstream purchases and GMV gains.
arXiv AI
Aug 17
Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest
arXiv:2604. 08525v2 Announce Type: replace Abstract: Large language models (LLMs) are trained to align with user preferences through methods like reinforcement learning.
arXiv AI
1d ago
RealWorldShop: Benchmarking and Improving Conversational Shopping Agents in Real-World E-commerce
RealWorldShop introduces a new benchmark for conversational shopping agents, featuring 3.28 million grounded products, structured shopping episodes, a profile‑grounded user simulator, and role‑play evaluation. Analysis reveals that existing systems generate locally plausible responses but struggle with state tracking, constraint updating, and grounded convergence, especially in ambiguous or multi‑intent scenarios. The authors propose REALSHOP_AGENT, a session‑control framework with explicit state management, shopping‑flow control, catalog‑grounded retrieval, and runtime guards, which consistently outperforms strong baselines on the benchmark.
arXiv AI
Sep 15
Investigating the Impacts of Generative AI on Information Seeking
arXiv:2609.14638v1 Announce Type: cross Abstract: This paper is an encore submission of our 2026 journal article "Expertise and Information Seeking in the Age of Generative AI: New Procedures, New Pr...