% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").

@book{Aho:72,
    author  = {Alfred V. Aho and Jeffrey D. Ullman},
    title   = {The Theory of Parsing, Translation and Compiling},
    year    = "1972",
    volume  = "1",
    publisher = {Prentice-Hall},
    address = {Englewood Cliffs, NJ}
}

@book{APA:83,
    author  = {{American Psychological Association}},
    title   = {Publications Manual},
    year    = "1983",
    publisher = {American Psychological Association},
    address = {Washington, DC}
}

@article{Chandra:81,
	author = {Ashok K. Chandra and Dexter C. Kozen and Larry J. Stockmeyer},
	year = "1981",
	title = {Alternation},
	journal = {Journal of the Association for Computing Machinery},
	volume = "28",
	number = "1",
	pages = "114--133",
	doi = "10.1145/322234.322243",
}

@inproceedings{andrew2007scalable,
  title={Scalable training of {L1}-regularized log-linear models},
  author={Andrew, Galen and Gao, Jianfeng},
  booktitle={Proceedings of the 24th International Conference on Machine Learning},
  pages={33--40},
  year={2007},
}

@book{Gusfield:97,
    author  = {Dan Gusfield},
    title   = {Algorithms on Strings, Trees and Sequences},
    year    = "1997",
    publisher = {Cambridge University Press},
    address = {Cambridge, UK}
}

@article{rasooli-tetrault-2015,
    author    = {Mohammad Sadegh Rasooli and Joel R. Tetreault},
    title     = {Yara Parser: {A} Fast and Accurate Dependency Parser},
    journal   = {Computing Research Repository},
    volume    = {arXiv:1503.06733},
    year      = {2015},
    url       = {http://arxiv.org/abs/1503.06733},
    note    = {version 2}
}

@article{Ando2005,
	Acmid = {1194905},
	Author = {Ando, Rie Kubota and Zhang, Tong},
	Issn = {1532-4435},
	Issue_Date = {12/1/2005},
	Journal = {Journal of Machine Learning Research},
	Month = dec,
	Numpages = {37},
	Pages = {1817--1853},
	Publisher = {JMLR.org},
	Title = {A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data},
	Volume = {6},
	Year = {2005}
}
@article{Gru4Rec,
  title={Session-based recommendations with recurrent neural networks},
  author={Hidasi, Bal{\'a}zs and Karatzoglou, Alexandros and Baltrunas, Linas and Tikk, Domonkos},
  journal={arXiv preprint arXiv:1511.06939},
  year={2015}
}
@inproceedings{Tisa,
  title={Time interval aware self-attention for sequential recommendation},
  author={Li, Jiacheng and Wang, Yujie and McAuley, Julian},
  booktitle={Proceedings of the 13th international conference on web search and data mining},
  pages={322--330},
  year={2020}
}
@inproceedings{GNN1,
  title={Graph Diffusive Self-Supervised Learning for Social Recommendation},
  author={Li, Jiuqiang and Wang, Hongjun},
  booktitle={Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={2442--2446},
  year={2024}
}
@inproceedings{GNN2,
  title={Multi-relational contrastive learning for recommendation},
  author={Wei, Wei and Xia, Lianghao and Huang, Chao},
  booktitle={Proceedings of the 17th ACM Conference on Recommender Systems},
  pages={338--349},
  year={2023}
}
@inproceedings{GNN3,
  title={Dynamic graph evolution learning for recommendation},
  author={Tang, Haoran and Wu, Shiqing and Xu, Guandong and Li, Qing},
  booktitle={Proceedings of the 46th international acm sigir conference on research and development in information retrieval},
  pages={1589--1598},
  year={2023}
}
@inproceedings{MM,
  title={Factorizing personalized markov chains for next-basket recommendation},
  author={Rendle, Steffen and Freudenthaler, Christoph and Schmidt-Thieme, Lars},
  booktitle={Proceedings of the 19th international conference on World wide web},
  pages={811--820},
  year={2010}
}

@inproceedings{sas,
  title={Self-attentive sequential recommendation},
  author={Kang, Wang-Cheng and McAuley, Julian},
  booktitle={2018 IEEE international conference on data mining (ICDM)},
  pages={197--206},
  year={2018},
  organization={IEEE}
}
@inproceedings{bert,
  title={BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer},
  author={Sun, Fei and Liu, Jun and Wu, Jian and Pei, Changhua and Lin, Xiao and Ou, Wenwu and Jiang, Peng},
  booktitle={Proceedings of the 28th ACM international conference on information and knowledge management},
  pages={1441--1450},
  year={2019}
}
@inproceedings{mcprn,
  title={Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose routing networks},
  author={Wang, Shoujin and Hu, Liang and Wang, Yan and Sheng, Quan Z and Orgun, Mehmet and Cao, Longbing},
  booktitle={International Joint Conference on Artificial Intelligence},
  year={2019},
  organization={International Joint Conferences on Artificial Intelligence}
}
@inproceedings{int,
  title={Intention nets: psychology-inspired user choice behavior modeling for next-basket prediction},
  author={Wang, Shoujin and Hu, Liang and Wang, Yan and Sheng, Quan Z and Orgun, Mehmet and Cao, Longbing},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  number={04},
  pages={6259--6266},
  year={2020}
}
@inproceedings{mind,
  title={Multi-interest network with dynamic routing for recommendation at Tmall},
  author={Li, Chao and Liu, Zhiyuan and Wu, Mengmeng and Xu, Yuchi and Zhao, Huan and Huang, Pipei and Kang, Guoliang and Chen, Qiwei and Li, Wei and Lee, Dik Lun},
  booktitle={Proceedings of the 28th ACM international conference on information and knowledge management},
  pages={2615--2623},
  year={2019}
}
@inproceedings{comirec,
  title={Controllable multi-interest framework for recommendation},
  author={Cen, Yukuo and Zhang, Jianwei and Zou, Xu and Zhou, Chang and Yang, Hongxia and Tang, Jie},
  booktitle={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
  pages={2942--2951},
  year={2020}
}
@inproceedings{surge,
  title={Sequential recommendation with graph neural networks},
  author={Chang, Jianxin and Gao, Chen and Zheng, Yu and Hui, Yiqun and Niu, Yanan and Song, Yang and Jin, Depeng and Li, Yong},
  booktitle={Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval},
  pages={378--387},
  year={2021}
}
@article{mip,
  title={Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model},
  author={Shi, Hui and Gu, Yupeng and Zhou, Yitong and Zhao, Bo and Gao, Sicun and Zhao, Jishen},
  journal={arXiv preprint arXiv:2207.06652},
  year={2022}
}

@article{trans,
  title={Transformer in transformer},
  author={Han, Kai and Xiao, An and Wu, Enhua and Guo, Jianyuan and Xu, Chunjing and Wang, Yunhe},
  journal={Advances in neural information processing systems},
  volume={34},
  pages={15908--15919},
  year={2021}
}
@inproceedings{pin,
  title={PinText: A multitask text embedding system in pinterest},
  author={Zhuang, Jinfeng and Liu, Yu},
  booktitle={Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
  pages={2653--2661},
  year={2019}
}
@inproceedings{big,
  title={Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering},
  author={Zhang, Yi and Sang, Lei and Zhang, Yiwen},
  booktitle={Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={1253--1262},
  year={2024}
}
@article{bptt,
  title={Training deep bidirectional LSTM acoustic model for LVCSR by a context-sensitive-chunk BPTT approach},
  author={Chen, Kai and Huo, Qiang},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  volume={24},
  number={7},
  pages={1185--1193},
  year={2016},
  publisher={IEEE}
}
@inproceedings{seq1,
  title={Contrastive learning for sequential recommendation},
  author={Xie, Xu and Sun, Fei and Liu, Zhaoyang and Wu, Shiwen and Gao, Jinyang and Zhang, Jiandong and Ding, Bolin and Cui, Bin},
  booktitle={2022 IEEE 38th international conference on data engineering (ICDE)},
  pages={1259--1273},
  year={2022},
  organization={IEEE}
}
@article{DGSR,
  title={Dynamic graph neural networks for sequential recommendation},
  author={Zhang, Mengqi and Wu, Shu and Yu, Xueli and Liu, Qiang and Wang, Liang},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  volume={35},
  number={5},
  pages={4741--4753},
  year={2022},
  publisher={IEEE}
}
@inproceedings{seq2,
  title={Debiased contrastive learning for sequential recommendation},
  author={Yang, Yuhao and Huang, Chao and Xia, Lianghao and Huang, Chunzhen and Luo, Da and Lin, Kangyi},
  booktitle={Proceedings of the ACM web conference 2023},
  pages={1063--1073},
  year={2023}
}
@inproceedings{MF,
  title={Fusing similarity models with markov chains for sparse sequential recommendation},
  author={He, Ruining and McAuley, Julian},
  booktitle={2016 IEEE 16th international conference on data mining (ICDM)},
  pages={191--200},
  year={2016},
  organization={IEEE}
}
@inproceedings{neural1,
  title={Aspect re-distribution for learning better item embeddings in sequential recommendation},
  author={Cai, Wei and Pan, Weike and Mao, Jingwen and Yu, Zhechao and Xu, Congfu},
  booktitle={Proceedings of the 16th ACM Conference on Recommender Systems},
  pages={49--58},
  year={2022}
}@inproceedings{neural2,
  title={Context and attribute-aware sequential recommendation via cross-attention},
  author={Rashed, Ahmed and Elsayed, Shereen and Schmidt-Thieme, Lars},
  booktitle={Proceedings of the 16th ACM Conference on Recommender Systems},
  pages={71--80},
  year={2022}
}
@inproceedings{neural3,
  title={Contrastive learning with frequency-domain interest trends for sequential recommendation},
  author={Zhang, Yichi and Yin, Guisheng and Dong, Yuxin},
  booktitle={Proceedings of the 17th ACM Conference on Recommender Systems},
  pages={141--150},
  year={2023}
}
@article{rnn1,
  title={AGRE: A knowledge graph recommendation algorithm based on multiple paths embeddings RNN encoder},
  author={Zhao, Na and Long, Zhen and Wang, Jian and Zhao, Zhi-Dan},
  journal={Knowledge-Based Systems},
  volume={259},
  pages={110078},
  year={2023},
  publisher={Elsevier}
}
@article{rnn2,
  title={Intelligent recommendation algorithm combining RNN and knowledge graph},
  author={Zeng, Fengsheng and Wang, Qin},
  journal={Journal of Applied Mathematics},
  volume={2022},
  number={1},
  pages={7323560},
  year={2022},
  publisher={Wiley Online Library}
}
@article{rnn3,
  title={Hybrid CNN and RNN-based shilling attack framework in social recommender networks},
  author={Narayanan, Praveena and others},
  journal={EAI Endorsed Transactions on Scalable Information Systems},
  volume={9},
  number={35},
  year={2021}
}
@article{self1,
  title={FSASA: Sequential recommendation based on fusing session-aware models and self-attention networks},
  author={Guo, Shangzhi and Liao, Xiaofeng and Meng, Fei and Zhao, Qing and Tang, Yuling and Li, Hui and Zong, Qinqin},
  journal={Computer Science and Information Systems},
  number={00},
  pages={67--67},
  year={2023}
}
@article{self2,
  title={Point-of-interest recommendation based on bidirectional self-attention mechanism by fusing spatio-temporal preference},
  author={Cheng, Shulin and Wu, Zhongquan and Qian, Meng and Huang, Wentao},
  journal={Multimedia Tools and Applications},
  volume={83},
  number={9},
  pages={26333--26347},
  year={2024},
  publisher={Springer}
}
@inproceedings{transfomer1,
  title={A unified graph transformer for overcoming isolations in multi-modal recommendation},
  author={Yi, Zixuan and Ounis, Iadh},
  booktitle={Proceedings of the 18th ACM Conference on Recommender Systems},
  pages={518--527},
  year={2024}
}
@inproceedings{transfomer2,
  title={STRec: Sparse transformer for sequential recommendations},
  author={Li, Chengxi and Wang, Yejing and Liu, Qidong and Zhao, Xiangyu and Wang, Wanyu and Wang, Yiqi and Zou, Lixin and Fan, Wenqi and Li, Qing},
  booktitle={Proceedings of the 17th ACM Conference on Recommender Systems},
  pages={101--111},
  year={2023}
}
@inproceedings{transfomer3,
  title={Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions},
  author={Wilm, Timo and Normann, Philipp and Baumeister, Sophie and Kobow, Paul-Vincent},
  booktitle={Proceedings of the 17th ACM Conference on Recommender Systems},
  pages={1023--1026},
  year={2023}
}
@inproceedings{FEMIRecr,
  title={Filter-Enhanced Multi-interest Network for Sequential Recommendation},
  author={Cui, Mingyu and Peng, Zhaohui and Chu, Yaohui and Lu, Jikun and Tan, Yashu},
  booktitle={Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data},
  pages={479--493},
  year={2024},
  organization={Springer}
}
@article{graph1,
  title={Contrastive multi-interest graph attention network for knowledge-aware recommendation},
  author={Liu, Jianfang and Wang, Wei and Yi, Baolin and Shen, Xiaoxuan and Zhang, Huanyu},
  journal={Expert Systems with Applications},
  volume={255},
  pages={124748},
  year={2024},
  publisher={Elsevier}
}
@article{graph2,
  title={Multi-Interest Sequential Recommendation with Simplified Graph Convolution and Multiple Item Features},
  author={Sun, Kelei and He, Mengqi and Zhou, Huaping and Wang, Yingying and Sun, Sai},
  journal={International Journal of Pattern Recognition and Artificial Intelligence},
  year={2024},
  publisher={World Scientific}
}
@inproceedings{RimiRec,
  title={RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation},
  author={Pei, Haolei and Xu, Yuanyuan and Zhu, Yangping and Nie, Yuan},
  booktitle={Companion Proceedings of the ACM on Web Conference 2024},
  pages={746--749},
  year={2024}
}
@article{position,
  title={Attention is all you need},
  author={Vaswani, A},
  journal={Advances in Neural Information Processing Systems},
  year={2017}
}
@article{taiwan,
  title={Modeling cross-session information with multi-interest graph neural networks for the next-item recommendation},
  author={Wang, Ting-Yun and Chen, Chiao-Ting and Huang, Ju-Chun and Huang, Szu-Hao},
  journal={ACM Transactions on Knowledge Discovery from Data},
  volume={17},
  number={1},
  pages={1--28},
  year={2023},
  publisher={ACM New York, NY}
}
@inproceedings{seq1,
  title={Personalized top-n sequential recommendation via convolutional sequence embedding},
  author={Tang, Jiaxi and Wang, Ke},
  booktitle={Proceedings of the eleventh ACM international conference on web search and data mining},
  pages={565--573},
  year={2018}
}
@inproceedings{seq2,
  title={seq2},
  author={Yuan, Fajie and Karatzoglou, Alexandros and Arapakis, Ioannis and Jose, Joemon M and He, Xiangnan},
  booktitle={Proceedings of the twelfth ACM international conference on web search and data mining},
  pages={582--590},
  year={2019}
}
@inproceedings{cnn1,
  title={Learning to ride a buy-cycle: A hyper-convolutional model for next basket repurchase recommendation},
  author={Katz, Ori and Barkan, Oren and Koenigstein, Noam and Zabari, Nir},
  booktitle={Proceedings of the 16th ACM Conference on Recommender Systems},
  pages={316--326},
  year={2022}
}
@inproceedings{cnn2,
  title={Bundle recommendation with graph convolutional networks},
  author={Chang, Jianxin and Gao, Chen and He, Xiangnan and Jin, Depeng and Li, Yong},
  booktitle={Proceedings of the 43rd international ACM SIGIR conference on Research and development in Information Retrieval},
  pages={1673--1676},
  year={2020}
}
@inproceedings{cnn3,
  title={BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation},
  author={Zhang, Yinan and Wang, Pei and Liu, Congcong and Zhao, Xiwei and Qi, Hao and He, Jie and Jin, Junsheng and Peng, Changping and Lin, Zhangang and Shao, Jingping},
  booktitle={Proceedings of the 32nd ACM International Conference on Information and Knowledge Management},
  pages={4410--4414},
  year={2023}
}
@inproceedings{MGNM,
  title={When multi-level meets multi-interest: A multi-grained neural model for sequential recommendatiMGNMon},
  author={Tian, Yu and Chang, Jianxin and Niu, Yanan and Song, Yang and Li, Chenliang},
  booktitle={Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval},
  pages={1632--1641},
  year={2022}
}
@inproceedings{MAERec,
  title={Graph masked autoencoder for sequential recommendation},
  author={Ye, Yaowen and Xia, Lianghao and Huang, Chao},
  booktitle={Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={321--330},
  year={2023}
}