Acknowledgement
This research was supported by the National Research Foundation of Korea(NRF) grant (No.2021R1F1A1045815).
References
- Adams, R. P., and Murray, G. E. D. I., "Incorporating side information in probabilistic matrix factorization with gaussian processes", arXiv preprint arXiv:1003.4944, 2010.
- Bokde, D., Girase, S., and Mukhopadhyay, D., "Matrix factorization model in collaborative filtering algorithms: A survey", Prodedia Computer Science, Vol. 49, 2015, pp. 136-146. https://doi.org/10.1016/j.procs.2015.04.237
- Chae, D., Kang, J., Kim, S., and Lee, J., "CFGAN: A generic collaborative filtering framework based on generative adversarial networks", In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018, pp. 137-146.
- Fan, W., Derr, T., Ma, Y., Wang, J., Tang, J., and Li, Q., "Deep adversarial social recommendation", In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019, pp. 1351-1357.
- He, X. and Chua, T., "Neural factorization machines for sparse predictive analytics", Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval. ACM, 2017.
- He, X., Liao, L., Zhang., H., Nie, L., Hu, X., and Chua, T., "Neural collaborative filtering", Proceedings of the 26th International Conference on World Wide Web, 2017, pp. 173-182.
- Hwang, W.-S., Parc, J., Kim, S.-W., Lee, J., and Lee, D., "Told You I Didn't Like It: Exploiting Uninteresting Items for Effective Collaborative Filtering", In Proceedings of the 32nd IEEE Int'l Conf. on Data Engineering (IEEE ICDE), 2016.
- Koren, Y., Bell, R., and Volinsky, C., "Matrix factorization techniques for recommender systems", Computer, Vol. 42, No. 8, 2009, pp. 30-37. https://doi.org/10.1109/MC.2009.263
- Lee, J., Sun, M., and Lebanon, G., "A comparative study of collaborative filtering algorithms", arXiv preprint arXiv: 1205.3193, 2012.
- Li, Y., Hu, J., Zhai, C., and Chen, Y., "Improving one-class collaborative filtering by incorporating rich user information", In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM '10). 2010, pp. 959-968.
- Li, G., Zhang, Z., Wang, L., Chen, Q., and Pan, J., "One-class collaborative filtering based on rating prediction and ranking prediction", Knowledge-Based Systems, Vol. 124, 2017, pp. 46-54. https://doi.org/10.1016/j.knosys.2017.02.034
- Liu, J., Pan, W., and Ming, Z., "Cofigan: Collaborative filtering by generative and discriminative training for one-class recommendation", Knowledge-based Systems, Vol. 191, 2020.
- Mirza, M. and Osindero, S., "Conditional generative adversarial nets", arXiv preprint arXiv:1411.1784, 2014.
- Pan, R., Zhou, Y., Cao, B., Liu, N. N., Lukose, R., Scholz, M., and Yang, Q., "One-class collaborative filtering", Eighth IEEE International Conference on Data Mining, 2008.
- Porteous, I., and Asuncion, M. W. A. U., "Bayesian matrix factorization with side information and dirichlet process mixtures", In Proceedings of AAAI, 2010.
- Song, H. S., "Deep neural network-based beauty product recommender", Journal of Information Technology Application & Management, Vol. 26, No. 6, 2019, pp. 89-101.
- Song, G. and Song, H., "Algorithm for generating negative cases for collaborative filtering recommender", Expert Systems, Vol. 39, No. 12, 2022.
- Strub, F., Mary, J., and Gaudel, R., "Hybrid Collaborative Filtering with Autoencoders", arXiv preprint arXiv:1603.00806, 2016.
- Wang, J., Yu, L., Zhang, W., Gong, Y., Xu, Y., Wang, B., Zhang, P., and Zhang, D., "IRGAN: A minimax game for unifying generative and discriminative information retrieval models", In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017, pp. 515-524.
- Won, H., Lee, Y., Shim, J., and Ahn, H., "A Hybrid Collaborative Filtering Model Using Customer Search Keyword Data for Product Recommendation", 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, pp. 1523-1526.
- Zhang, W., "Generative adversarial nets for information retrieval: Fundamentals and advances", The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018, pp. 1375-1378.
- Zhao, W., Wang, B., Ye, J., Gao, Y., Yang, M., and Chen, X., "PLASTIC: prioritize long and short-term information in top-n recommendation using adversarial training", In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018, pp. 3676-3682.