mlsanityData to 14 Oct 2026

Next Item Recommendation with Self-Attention

arXiv 1808.06414 ↗First posted 20 Aug 2018cs.IRcited by 15

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Abstract (arXiv)

In this paper, we propose a novel sequence-aware recommendation model. Our model utilizes self-attention mechanism to infer the item-item relationship from user's historical interactions. With self-attention, it is able to estimate the relative weights of each item in user interaction trajectories to learn better representations for user's transient interests. The model is finally trained in a metric learning framework, taking both short-term and long-term intentions into consideration. Experiments on a wide range of datasets on different domains demonstrate that our approach outperforms the state-of-the-art by a wide margin.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Aug 2018.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 3; 2022: 2; 2023: 4; 2024: 4; 2025: 1; 2026: 1.

15 papers.

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  1. 2023Recommender Systems with Generative Retrievalcited by 198
  2. 2022A General Survey on Attention Mechanisms in Deep Learningcited by 64
  3. 2021Dynamic Memory based Attention Network for Sequential Recommendationcited by 16
  4. 2021Unsupervised Proxy Selection for Session-based Recommender Systemscited by 7
  5. 2022Sequential Recommendation Model for Next Purchase Predictioncited by 3
  6. 2024EulerFormer: Sequential User Behavior Modeling with Complex Vector Attentioncited by 3
  7. 2024DIET: Customized Slimming for Incompatible Networks in Sequential Recommendationcited by 3
  8. 2023Federated Privacy-preserving Collaborative Filtering for On-Device Next App Predictioncited by 1
  9. 2024Search Intenion Network for Personalized Query Auto-Completion in E-Commercecited by 1
  10. 2024ELASTIC: Efficient Linear Attention for Sequential Interest Compressioncited by 1
  11. 2021Robust Recommendation with Implicit Feedback via Eliminating the Effects of Unexpected Behaviorscited by 0
  12. 2023Memory efficient location recommendation through proximity-aware representationcited by 0
3 more
  1. 2023Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Time Spanscited by 0
  2. 2025Multi-Item-Query Attention for Stable Sequential Recommendationcited by 0
  3. 2026Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networkscited by 0