22 citations · 23 across the 2 of their papers we have counts for
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cs.IR2023★ 1 cited
Hierarchical Multi-Task Learning Framework for Session-based Recommendations
Sejoon Oh, Walid Shalaby, Amir Afsharinejad +1
While session-based recommender systems (SBRSs) have shown superior recommendation performance, multi-task learning (MTL) has been adopted by SBRSs to enhance their prediction accu…
cs.IR2022★ 22 cited
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
Walid Shalaby, Sejoon Oh, Amir Afsharinejad +2
Session-based recommender systems (SBRSs) have shown superior performance over conventional methods. However, they show limited scalability on large-scale industrial datasets since…