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Found 4 papers, 0 papers with code
Generating Rich Product Descriptions for Conversational E-commerce Systems
We propose eBERT, a sequence-to-sequence approach by further pre-training the BERT embeddings on an e-commerce product description corpus, and then fine-tuning the resulting model to generate short, natural, spoken language titles from input web titles.
A Real-Time Whole Page Personalization Framework for E-Commerce
In production, our system resulted in an improvement in item discovery, an increase in online engagement, and a significant lift on add-to-carts (ATCs) per visitor on the homepage.
Product Title Generation for Conversational Systems using BERT
Through recent advancements in speech technology and introduction of smart devices, such as Amazon Alexa and Google Home, increasing number of users are interacting with applications through voice.
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations
In this paper, we introduce a production within-basket grocery recommendation system, RTT2Vec, which generates real-time personalized product recommendations to supplement the user's current grocery basket.
