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Cleo chatbot offers transparency and control in e-commerce conversations

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Cleo, a conversational chatbot designed to assist with e-commerce decisions. Cleo aims to overcome the typical opacity and unpredictability of large language models by offering transparency through auditable ranking mechanisms and explanations for its decisions. The system also provides controllability by separating deterministic ranking from language generation, ensuring responses are grounded in product specifications and mitigating hallucinations. Additionally, Cleo offers decision support features like natural-language comparisons and highlights to reduce user mental workload. AI

IMPACT Enhances transparency and control in AI-driven e-commerce, potentially improving user trust and decision-making.

RANK_REASON The cluster describes a research paper detailing a new chatbot system for conversational commerce. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Cleo chatbot offers transparency and control in e-commerce conversations

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The cluster describes a research paper detailing a new chatbot system for conversational commerce. [lever_c_demoted from research: ic=1 ai=1.0]
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product, paper
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High
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40 days old
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Dagmar Kern ·

    Cleo: A Transparent and Controllable Chatbot for Conversational Commerce

    We demonstrate Cleo, a transparent and controllable conversational product advisor that addresses the challenges of opacity, unpredictability of LLMs, and the complexity of comparisons in conversational commerce. With our chatbot system, we make four contributions: First, we intr…

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