Attentive Sequential Models of Latent Intent for Next Item Recommendation
WWW '20: The Web Conference 2020 Taipei Taiwan April, 2020, pp. 2528-2534, 2020.
Users exhibit different intents across e-commerce services (e.g. discovering items, purchasing gifts, etc.) which drives them to interact with a wide variety of items in multiple ways (e.g. click, add-to-cart, add-to-favorites, purchase). To give better recommendations, it is important to capture user intent, in addition to considering th...More
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