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Question Suggestion for Conversational Shopping Assistants Using Product Metadata
May 6, 2024, 4:47 a.m. | Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
cs.CL updates on arXiv.org arxiv.org
Abstract: Digital assistants have become ubiquitous in e-commerce applications, following the recent advancements in Information Retrieval (IR), Natural Language Processing (NLP) and Generative Artificial Intelligence (AI). However, customers are often unsure or unaware of how to effectively converse with these assistants to meet their shopping needs. In this work, we emphasize the importance of providing customers a fast, easy to use, and natural way to interact with conversational shopping assistants. We propose a framework that employs …
abstract applications artificial artificial intelligence arxiv assistants become commerce conversational cs.cl customers digital digital assistants e-commerce generative generative artificial intelligence however information intelligence language language processing metadata natural natural language natural language processing nlp processing product question retrieval shopping type
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