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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation

February 1, 2023

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Authors

Pengjie Ren

University of Amsterdam


Zhumin Chen

Shandong University


Jing Li

Shandong University


Zhaochun Ren

JD.com


Jun Ma

Shandong University


Maarten de Rijke

University of Amsterdam


DOI:

10.1609/aaai.v33i01.33014806


Abstract:

Recurrent neural networks for session-based recommendation have attracted a lot of attention recently because of their promising performance. repeat consumption is a common phenomenon in many recommendation scenarios (e.g., e-commerce, music, and TV program recommendations), where the same item is re-consumed repeatedly over time. However, no previous studies have emphasized repeat consumption with neural networks. An effective neural approach is needed to decide when to perform repeat recommendation. In this paper, we incorporate a repeat-explore mechanism into neural networks and propose a new model, called RepeatNet, with an encoder-decoder structure. RepeatNet integrates a regular neural recommendation approach in the decoder with a new repeat recommendation mechanism that can choose items from a user’s history and recommends them at the right time. We report on extensive experiments on three benchmark datasets. RepeatNet outperforms state-of-the-art baselines on all three datasets in terms of MRR and Recall. Furthermore, as the dataset size and the repeat ratio increase, the improvements of RepeatNet over the baselines also increase, which demonstrates its advantage in handling repeat recommendation scenarios.

Topics: AAAI

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HOW TO CITE:

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation Proceedings of the AAAI Conference on Artificial Intelligence (2019) 4806-4813.

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation AAAI 2019, 4806-4813.

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke (2019). RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence, 4806-4813.

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke. RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.4806-4813.

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke. 2019. RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. "Proceedings of the AAAI Conference on Artificial Intelligence". 4806-4813.

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke. (2019) "RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation", Proceedings of the AAAI Conference on Artificial Intelligence, p.4806-4813

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke, "RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation", AAAI, p.4806-4813, 2019.

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke. "RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.4806-4813.

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke. "RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 4806-4813.

Pengjie Ren||Zhumin Chen||Jing Li||Zhaochun Ren||Jun Ma||Maarten de Rijke. RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. AAAI[Internet]. 2019[cited 2023]; 4806-4813.


ISSN: 2374-3468


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