随笔分类 - Recommender Systems
摘要：He X., He Z., Du X. and Chua T. Adversarial personalized ranking for recommendation. In International ACM SIGIR Conference on Research and Development
阅读全文
摘要：Xiao J., Ye H., He X., Zhang H., Wu F. and Chua T. Attentional factorization machines: learning the weight of feature interactions via attention netwo
阅读全文
摘要：He X. and Chua T. Neural factorization machines for sparse predictive analytics. In International ACM SIGIR Conference on Research and Development in
阅读全文
摘要：Guo H., Tang R., Ye Y., Li Z. and He X. DeepFM: a factorization-machine based neural network for CTR prediction. In International Joint Conference on
阅读全文
摘要：Wang R., Fu B., Fu G. and Wang M. Deep & cross network for ad click predictions. Proceedings of the ADKDD, 2017. 概 Wide & Deep 模型虽然强大, 但是其 wide 部分仍需要复
阅读全文
摘要：Cheng H., et al. Wide & deep learning for recommender systems. Proceedings of the 1st workshop on deep learning for recommender systems, 2016. 概 谷歌提的推
阅读全文
摘要：Li B., Wang Y., Singh A. and Vorobeychik Y. Data poisoning attacks on factorization-based collaborative filtering. In Advances in Neural Information P
阅读全文
摘要：He X., Liao L., Zhang H., Nie L., Hu X. and Chua T. Neural collaborative filtering. In International World Wide Web Conference (WWW), 2017. 概 对用户和物品隐变
阅读全文
摘要：Juan Y., Zhuang Y., Chin W. and Lin C. Field-aware factorization machines for CTR prediction. In ACM Conference on Recommender Systems (RecSys), 2016.
阅读全文
摘要：Rendle S. Factorization machines. In IEEE International Conference on Data Mining (ICDM), 2010 概 SVM在很多领域都有应用, 却在推荐系统中没有什么特别好的效果, 作者认为主要原因是推荐系统的数据过于稀疏
阅读全文
摘要：Linden G., Smith B. and York J. Amazon.com recommendations item-to-item collaborative filtering. IEEE Internet Computing, 2003. 概 传统的协同过滤绝大部分计算都是onlin
阅读全文
摘要：Wang J., Le Y., Chang B., Wang Y., Chi E. and Chen M. Learning to augment for casual user recommendation. In International World Wide Web Conference (
阅读全文
摘要：Shan Y., Hoens T. R., Jiao J., Wang H., Yu D. and Mao J. Deep crossing: web-scale modeling without manually crafted combinatorial features. In Interna
阅读全文
摘要：Sedhain S., Menon A. K., Sanner S. and Xie L. AutoRec: autoencoders meet collaborative filtering. In International Conference on World Wide Web (WWW),
阅读全文
