Collaborative Sequential Recommendations via Multi-view GNN-transformers
Tianze Luo,
Yong Liu,
Sinno Jialin Pan
Abstract:Sequential recommendation systems aim to exploit users’ sequential behavior patterns to capture their interaction intentions and improve recommendation accuracy. Existing sequential recommendation methods mainly focus on modeling the items’ chronological relationships in each individual user behavior sequence, which may not be effective in making accurate and robust recommendations. On one hand, the performance of existing sequential recommendation methods is usually sensitive to the length of a user’s behavio… Show more
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