most citedEfficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

121 citations · 121 across the 1 of their papers we have counts for

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cs.IR2022★ 121 cited

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Peiyan Zhang, Jiayan Guo, Chaozhuo Li +6

Session-based recommendation (SBR) aims to predict the user's next action based on short and dynamic sessions. Recently, there has been an increasing interest in utilizing various…