In this paper we present a prototype for capturing retail related consumer intent using multiple devices and in multimodal input formats such as text, ...

Abstract. In this paper we present a prototype for capturing retail related consumer intent using multiple devices and in multimodal input formats such as ...

In this paper we present a prototype for capturing retail related consumer intent using multiple devices and in multimodal input formats such as text, ...

2021/10/08 · The short answer is that retailers must embrace multimodal search as a more effective way of delighting customers.

2023/10/16 · Multimodal CX enables customers to communicate with a brand using multiple modes of interaction: voice, visual, text, etc.

The present research explores why consumers hesitate to make purchase decisions depending solely on online search; instead, they prefer webrooming.

This study examines the antecedents and consequences of customers' intentions to use smart retail technology (SRT), specifically Smart Retail Carts.

"multimodal capture of consumer intent in retail"^^<http://www.w3.org/2001 ... <http://aida.kmi.open.ac.uk/ontology#hasSemanticTopic>. <http://cso.kmi.open.ac.uk/ ...

In this guide we'll show how Labelbox can be used to collect training data for an ecommerce chatbot that responds to customer queries about online shopping.

Multimodal analytics framework predicts product sales in live streaming e-commerce using product, live streaming, and anchor data.