Multi-Behavior RFM Model Based on Improved SOM Neural Network Algorithm for Customer Segmentation
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DOI: 10.1109/access.2022.3223361
Abstract: Previous research on RFM (recency, frequency, and monetary value) models focused on only one type of user behavior data, i.e., the purchase behavior, without considering the interactions between users and items, such as clicking, favorite,… read more here.
Keywords: multi behavior; rfm; behavior rfm; customer segmentation ... See more keywords
Heterogeneous Multi-Behavior Recommendation Based on Graph Convolutional Networks
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DOI: 10.1109/access.2023.3251994
Abstract: Traditional recommendation systems usually use single user-item interaction information, which ignore the multiple relationships that exist for other interactions (e.g., likes, clicks). Multi-behavioral recommendation models compensate for the shortcomings of traditional models. The existing multi-behavior… read more here.
Keywords: information; interaction; multi behavior; recommendation ... See more keywords