Flexible Order Aware Sequential Recommendation

Author:

Qian Mingda1,Gu Xiaoyan2,Chu Lingyang3,Dai Feifei1,Fan Haihui2,Li Bo2

Affiliation:

1. University of Chinese Academy of Sciences & Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

3. McMaster University, Hamilton, Canada

Publisher

ACM

Reference43 articles.

1. Lei Jimmy Ba , Jamie Ryan Kiros, and Geoffrey E. Hinton . 2016 . Layer Normalization. CoRR , Vol. abs/ 1607 .06450 (2016). Lei Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton. 2016. Layer Normalization. CoRR, Vol. abs/1607.06450 (2016).

2. Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback

3. Sung Min Cho , Eunhyeok Park , and Sungjoo Yoo . 2020 . MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. In Fourteenth ACM Conference on Recommender Systems. Sung Min Cho, Eunhyeok Park, and Sungjoo Yoo. 2020. MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. In Fourteenth ACM Conference on Recommender Systems.

4. Maurizio Ferrari Dacrema Paolo Cremonesi and Dietmar Jannach. 2019. Are we really making much progress? A worrying analysis of recent neural recommendation approaches. In RecSys. Maurizio Ferrari Dacrema Paolo Cremonesi and Dietmar Jannach. 2019. Are we really making much progress? A worrying analysis of recent neural recommendation approaches. In RecSys.

5. Meta-Graph Based Attention-Aware Recommendation over Heterogeneous Information Networks

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