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CoCoRec-main/README.md

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# CoCoRec
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The official implementation of the CoCoRec algorithm proposed in the paper ["Category-aware Collaborative Sequential Recommendation"](https://dl.acm.org/doi/abs/10.1145/3404835.3462832) which is accepted to SIGIR 2021.
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To run the code,
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```
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python main_time.py
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```
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The datasets are Taobao (https://tianchi.aliyun.com/dataset/dataDetail?dataId=649) and BeerAdvocate (http://jmcauley.ucsd.edu/cse255/data/beer/). Basically any dataset having sequences of user actions and the category information of items can be used for the algorithms.
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BibTeX for citation:
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```
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@inproceedings{cai2021category,
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title={Category-aware collaborative sequential recommendation},
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author={Cai, Renqin and Wu, Jibang and San, Aidan and Wang, Chong and Wang, Hongning},
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booktitle={Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval},
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pages={388--397},
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year={2021}
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}
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```

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