├── README.md └── bib_files ├── CTDNE.bib ├── MTAM.bib ├── SSE-PT.bib ├── Time_Interval.bib └── disentangle.bib /README.md: -------------------------------------------------------------------------------- 1 | This is a repo containing a list of sequential recommendation papers. Currently, we have not distinguished session-based recommendation and sequential recommendation. We may further separate them. 2 | # Sequential Recommender System Papers 3 | | Title | Venue | Year | Code | 4 | | ------------------------------------------------------------ | ----- | ---- | ------------------------------------- | 5 | | [Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer](https://arxiv.org/pdf/2105.00522.pdf) | SIGIR | 2021 | [Code](https://github.com/DyGRec/ASReP) | 6 | | [Sequential Recommendation for Cold-start Users with Meta Transitional Learning](Nan) | SIGIR | 2021 | [Code](Nan) | 7 | | [Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation](https://arxiv.org/pdf/2103.10693.pdf) | TheWeb | 2021 | [Code](https://github.com/ACVAE/ACVAE-PyTorch) | 8 | | [Contrastive Pre-training for Sequential Recommendation.](https://arxiv.org/pdf/2010.14395.pdf) | arxiv | 2021 | Code | 9 | | [Cold-start Sequential Recommendation via Meta Learner.](https://arxiv.org/pdf/2012.05462.pdf) | AAAI | 2021 | Code | 10 | | [Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation.](https://arxiv.org/pdf/2002.00741.pdf) | TheWeb | 2020 | Code | 11 | | [Adaptive Hierarchical Translation-based Sequential Recommendation.](https://dl.acm.org/doi/pdf/10.1145/3366423.3380067) | TheWeb | 2020 | Code | 12 | | [Time Interval Aware Self-Attention for Sequential Recommendation.](https://cseweb.ucsd.edu/~jmcauley/pdfs/wsdm20b.pdf) | WSDM | 2020 | [CITE](./bib_files/Time_Interval.bib) | 13 | | [Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling](https://arxiv.org/pdf/1911.03883.pdf) | WSDM | 2020 | Code | 14 | | [Time Matters: Sequential Recommendation with Complex Temporal Information.](https://dl.acm.org/doi/pdf/10.1145/3397271.3401154?casa_token=B-A6CsmuPiwAAAAA:cUV0AptqcwC5lA5wrVSUmHsGV978bBsDS4v_ZgbFrEy-0g6yNDhoYava4G7QA-zR38hOT07Ruuut) | SIGIR | 2020 | Code | 15 | | [Sequential Recommendation with Self-Attentive Multi-Adversarial Network.](https://dl.acm.org/doi/pdf/10.1145/3397271.3401111) | SIGIR | 2020 | Code | 16 | | [SSE-PT: Sequential Recommendation Via Personalized Transformer.](https://dl.acm.org/doi/pdf/10.1145/3383313.3412258) | RecSys | 2020 | [CITE](./bib_files/SSE-PT.bib) | 17 | | [Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective.](https://dl.acm.org/doi/pdf/10.1145/3394486.3403329) | KDD | 2020 | Code | 18 | | [Global Context Enhanced Graph Neural Networks for Session-based Recommendation.](https://dl.acm.org/doi/pdf/10.1145/3397271.3401142?casa_token=ApAXWFNIP9YAAAAA:aeHrK0slKcgdm4unhnGntFNsHNEX6Atgd2hRr8tOdJ590zbhivJnFFv5mc9h6TdJnxkIJNM0bws) | SIGIR | 2020 | Code | 19 | | [Disentangled Self-Supervision in Sequential Recommenders.](http://pengcui.thumedialab.com/papers/DisentangledSequentialRecommendation.pdf) | KDD | 2020 | [CITE](./bib_files/disentangle.bib) | 20 | | [Hybrid Sequential Recommender via Time-aware Attentive Memory Network.](https://arxiv.org/pdf/2005.08598.pdf) | CIKM | 2020 | [CITE](./bib_files/MTAM.bib) | 21 | | [S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.](https://arxiv.org/pdf/2008.07873.pdf) | CIKM | 2020 | Code | 22 | | [Hierarchical temporal convolutional networks for dynamic recommender systems.](https://arxiv.org/pdf/1904.04381.pdf) | WWW | 2019 | Code | 23 | | [Multi-order attentive ranking model for sequential recommendation.](https://www.aaai.org/ojs/index.php/AAAI/article/view/4516/4394) | AAAI | 2019 | Code | 24 | | [A simple convolutional generative network for next item recommendation.](https://dl.acm.org/doi/pdf/10.1145/3289600.3290975?casa_token=J1syrbahjloAAAAA:VbCRffYiUm4wqFaZjuxkTB0PiCMswTUAVHb_yy3Yw262gG_r_if1wD1f6gJ-PoGKulKriSDqLDM) | WSDM | 2019 | Code | 25 | | [Session-based recommendation with graph neural networks.](https://www.aaai.org/ojs/index.php/AAAI/article/view/3804/3682) | AAAI | 2019 | Code | 26 | | [BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.](https://arxiv.org/abs/1904.06690) | CIKM | 2019 | Code | 27 | | [Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination.](https://dl.acm.org/doi/pdf/10.1145/3292500.3330959) | KDD | 2019 | Code | 28 | | [Sequential recommendation with user memory networks.](https://dl.acm.org/doi/pdf/10.1145/3159652.3159668?casa_token=dwnjPirHUakAAAAA:15TKXBAZWzF7cXgAg0qWn8afEwjKVjMZUfQoYxb6KFWMqqYE-Jk1gc6EgWVM4cLJXqVD6Dcey6s) | WSDM | 2018 | Code | 29 | | [Personalized top-n sequential recommendation via convolutional sequence embedding.](https://arxiv.org/pdf/1809.07426.pdf) | WSDM | 2018 | Code | 30 | | [Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks.](https://dl.acm.org/doi/pdf/10.1145/3209978.3210017?casa_token=g6_ao5I-4dYAAAAA:Mf3O94xM-1vafa7Wg_N8725GTJksIxMVWIMV7wLTqRuWN-ZZZQ9MxNCIiR0ZX6PbDfhzVl_DH2g) | SIGIR | 2018 | Code | 31 | | [STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation.](https://github.com/uestcnlp/STAMP) | KDD | 2018 | Code | 32 | | [Self-Attentive Sequential Recommendation.](https://cseweb.ucsd.edu/~jmcauley/pdfs/icdm18.pdf) | ICDM | 2018 | Code | 33 | | [Hierarchical temporal convolutional networks for dynamic recommender systems.](https://arxiv.org/pdf/1904.04381.pdf) | IJCAI | 2018 | Code | 34 | | [Recurrent recommender networks.](https://dl.acm.org/doi/pdf/10.1145/3018661.3018689) | WSDM | 2017 | Code | 35 | | [Personalizing session-based recommendations with hierarchical recurrent neural networks.](https://arxiv.org/pdf/1706.04148.pdf) | RecSys | 2017 | Code | 36 | | [3D convolutional networks for session-based recommendation with content features.](https://dl.acm.org/doi/pdf/10.1145/3109859.3109900?casa_token=oaw4-qd-PmAAAAAA:PM2QlalXJgAlmQ1M8oLoH6IlrXVaGRxx-9mmSZ4__Mi-r670-gW3dmNyyHoO4-2-9jcSRLVgadI) | RecSys | 2017 | Code | 37 | | [Neural attentive session-based recommendation.](https://dl.acm.org/doi/pdf/10.1145/3132847.3132926?casa_token=p-UU3TxH3W0AAAAA:n8g1DKgwpJUOg5HhUhVNjzcT1hyftFAN7IThuOTYuAUIFJGUIdfsPADjulXugIIvjGD5BN0qvt8y) | CIKM | 2017 | Code 38 | | [Fusing similarity models with markov chains for sparse sequential recommendation.](https://cseweb.ucsd.edu/~jmcauley/pdfs/icdm16a.pdf) | IEEE ICDM | 2016 | Code | 39 | | [Session-based Recommendations with Recurrent Neural Networks.](https://arxiv.org/abs/1511.06939) | ICLR | 2016 | Code | 40 | | [Context-aware sequential recommendation.](https://arxiv.org/abs/1609.05787) | IEEE ICDM | 2016 | Code | 41 | | [Factorizing personalized markov chains for next-basket recommendation.](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.461.6854&rep=rep1&type=pdf) | WWW | 2010 | Code | 42 | 43 | 44 | 45 | ## Survey on Sequential Recommendation 46 | | Title | Venue | Year | Code | 47 | | ------------------------------------------------------------ | ---------------------------- | ---- | ---- | 48 | | [Sequence-aware recommender systems.](https://arxiv.org/pdf/1802.08452.pdf) | ACM Computing Surveys (CSUR) | 2018 | Code | 49 | 50 | # Temporal Interaction Graph 51 | | Title | Venue | Year | Code | 52 | | ------------------------------------------------------------ | --------------------------------- | ---- | ----------------------------- | 53 | | [Temporal recommendation on graphs via long-and short-term preference fusion.](https://dl.acm.org/doi/pdf/10.1145/1835804.1835896?casa_token=sXnMSlVllp0AAAAA:Op3oiJ4aw7Fyh-kwetwb0hPwjiKTNXBOQWvbbFGmvPqYgf6p0CbywFibcJITWN6qlO9nJ4du1Cw) | KDD | 2010 | Code | 54 | | [Continuous-time dynamic network embeddings.](http://ryanrossi.com/pubs/nguyen-et-al-WWW18-BigNet.pdf) | The Web Conference | 2018 | [CITE](./bib_files/CTDNE.bib) | 55 | | [Learning Temporal Interaction Graph Embedding via Coupled Memory Networks.](https://dl.acm.org/doi/pdf/10.1145/3366423.3380076?casa_token=jQDfuykEgz8AAAAA:IoUaw2pIm_WW7RxZPo7O1KdUtWy2StHjSGpgSQ0nCF32Lwr3_M2By9_zbJkKrKBu-NDsIB-T1sc) | Proceedings of The Web Conference | 2020 | Code | 56 | 57 | # Temporal Recommendation 58 | | Title | Venue | Year | Code | 59 | | ------------------------------------------------------------ | ------ | ---- | ---- | 60 | | [Exploring temporal effects for location recommendation on location-based social networks.](https://dl.acm.org/doi/pdf/10.1145/2507157.2507182?casa_token=HqN0SmOY0IAAAAAA:mKnXv5PWKdnNbWDiAkOsM7R0pQc6oq1ZIA5pUfxRwKrb1x1_i6zUyZ0EBNu0-Sezxqm98jFq79Y) | RecSys | 2013 | Code | 61 | 62 | ## Other Useful Resources 63 | [Sequential Rec. Code](https://github.com/DeepGraphLearning/RecommenderSystems/tree/master/sequentialRec) 64 | 65 | ## Dataset 66 | https://www.biendata.xyz/competition/icmechallenge2019/data/ 67 | -------------------------------------------------------------------------------- /bib_files/CTDNE.bib: -------------------------------------------------------------------------------- 1 | @inproceedings{nguyen2018continuous, 2 | title={Continuous-time dynamic network embeddings}, 3 | author={Nguyen, Giang Hoang and Lee, John Boaz and Rossi, Ryan A and Ahmed, Nesreen K and Koh, Eunyee and Kim, Sungchul}, 4 | booktitle={Companion Proceedings of the The Web Conference 2018}, 5 | pages={969--976}, 6 | year={2018} 7 | } 8 | -------------------------------------------------------------------------------- /bib_files/MTAM.bib: -------------------------------------------------------------------------------- 1 | @article{ji2020hybrid, 2 | title={Hybrid Sequential Recommender via Time-aware Attentive Memory Network}, 3 | author={Ji, Wendi and Wang, Keqiang and Wang, Xiaoling and Chen, TingWei and Cristea, Alexandra}, 4 | journal={CIKM}, 5 | year={2020} 6 | } 7 | -------------------------------------------------------------------------------- /bib_files/SSE-PT.bib: -------------------------------------------------------------------------------- 1 | @inproceedings{ssept20wu, 2 | author = {Wu, Liwei and Li, Shuqing and Hsieh, Cho-Jui and Sharpnack, James}, 3 | title = {SSE-PT: Sequential Recommendation Via Personalized Transformer}, 4 | year = {2020}, 5 | publisher = {Association for Computing Machinery}, 6 | address = {New York, NY, USA}, 7 | booktitle = {Fourteenth ACM Conference on Recommender Systems}, 8 | pages = {328–337}, 9 | numpages = {10}, 10 | location = {Virtual Event, Brazil}, 11 | series = {RecSys '20} 12 | } 13 | -------------------------------------------------------------------------------- /bib_files/Time_Interval.bib: -------------------------------------------------------------------------------- 1 | @inproceedings{li2020time, 2 | title={Time Interval Aware Self-Attention for Sequential Recommendation}, 3 | author={Li, Jiacheng and Wang, Yujie and McAuley, Julian}, 4 | booktitle={Proceedings of the 13th International Conference on Web Search and Data Mining}, 5 | pages={322--330}, 6 | year={2020} 7 | } 8 | -------------------------------------------------------------------------------- /bib_files/disentangle.bib: -------------------------------------------------------------------------------- 1 | @inproceedings{ma2020disentangled, 2 | title={Disentangled Self-Supervision in Sequential Recommenders}, 3 | author={Ma, Jianxin and Zhou, Chang and Yang, Hongxia and Cui, Peng and Wang, Xin and Zhu, Wenwu}, 4 | booktitle={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining}, 5 | pages={483--491}, 6 | year={2020} 7 | } 8 | --------------------------------------------------------------------------------