What is it about?
We present a new model to learn and predict users' repurchase cycle of items they repeatedly buy. We demonstrate its effectiveness in groceries repurchases. Most algorithms for recommender systems deal with recommending new items however, in domains such as groceries, the majority of purchased items are items that have been purchased before.
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Why is it important?
Most algorithms for recommender systems deal with recommending new items however, in domains such as groceries, the majority of purchased items are items that have been purchased before.
Read the Original
This page is a summary of: Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation, September 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3523227.3546763.
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