Multimodal conversational agents for the online fashion marketplace

iFetch

iFetch proposes to deliver a new generation of task-oriented conversational AI agents, which can interact by using verbal and visual information in a seamless manner, to mediate the interaction between large organizations and their users.

This will be based on conversational technology and algorithms, by addressing critical challenges, like tracking the evolution of the shopping needs throughout the conversation and relating product categories and characteristics, thus leading to better user engagement. To do this researchers will work together with access to Farfetch’s unique product knowledge base, massive (multimodal) training data, and experience in deploying and maintaining large AI systems ensuring a successful research program.

From: 2020-04
To: 2023-03
Funding: 369,496.49
Funders: ADI [40%]; FCT [60%]
Partner: Farfetch Portugal - Unipessoal Lda; Universidade Nova de Lisboa

Signal and Image Processing Group (SIPG)

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