Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing
Paper • 2401.11888 • Published
Marketing
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Improving the Capabilities of Large Language Model Based Marketing Analytics Copilots With Semantic Search And Fine-Tuning
Paper • 2404.13077 • Published -
Aquarius: A Family of Industry-Level Video Generation Models for Marketing Scenarios
Paper • 2505.10584 • Published -
What Is Your AI Agent Buying? Evaluation, Implications and Emerging Questions for Agentic E-Commerce
Paper • 2508.02630 • Published • 5 -
Machine Generated Product Advertisements: Benchmarking LLMs Against Human Performance
Paper • 2412.19610 • Published • 1 -
Modelling customer churn for the retail industry in a deep learning based sequential framework
Paper • 2304.00575 • Published • 1 -
AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing
Paper • 2511.12133 • Published • 2 -
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
Paper • 2404.04833 • Published • 1 -
Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems
Paper • 2410.19855 • Published • 1 -
Human Decision-making is Susceptible to AI-driven Manipulation
Paper • 2502.07663 • Published -
LLaSA: Large Language and E-Commerce Shopping Assistant
Paper • 2408.02006 • Published • 2 -
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)
Paper • 1805.03687 • Published