Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation

17 Sep 2020 Po Li Lei LI Yan Fu Jun Rong Yu Zhang

In this paper, we introduce Cross-modal Alignment with mixture experts Neural Network (CameNN) recommendation model for intral-city retail industry, which aims to provide fresh foods and groceries retailing within 5 hours delivery service arising for the outbreak of Coronavirus disease (COVID-19) pandemic around the world. We propose CameNN, which is a multi-task model with three tasks including Image to Text Alignment (ITA) task, Text to Image Alignment (TIA) task and CVR prediction task... (read more)

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