馒头and花卷

摘要： Wei T., Feng F., Chen J., Wu Z., Yi J. and He X. Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system. In ACM 阅读全文

摘要： Zhang S., Yin H., Chen T., Huang Z., Cui L. and Zhang X. Graph embedding for recommendation against attribute inference attacks. In International Worl 阅读全文

摘要： Wu C., Wu F., Qi T. and Huang Y. FairRec: fairness-aware news recommendation with decomposed adversarial learning. In AAAI Conference on Artificial In 阅读全文

摘要： Naghiaei M., Rahmani H. A. and Deldjoo Y. CPFair: personalized consumer and producer fairness re-ranking for recommender systems. In International ACM 阅读全文

摘要： 推荐系统数据集的介绍, 下载, 处理, 用到一个写一个. BARS 提供了一套标准化流程, 非常好用. git clone https://github.com/openbenchmark/BARS.git 注: 在运行预处理脚本时, 请注意修改脚本中的文件路径是否匹配. CTR Criteo Cr 阅读全文

摘要： Samuel D. and Chechik G. Distributional robustness loss for long-tail learning. In International Conference on Computer Vision (ICCV), 2021. 概 本文利用 Di 阅读全文

摘要： Cui J., Zhong Z., Liu S., Yu B. and Jia J. Parametric contrastive learning. In International Conference on Computer Vision (ICCV), 2021. 概 一种特殊的 super 阅读全文

摘要： Wang W., Lin X., Feng F., He X., Lin M. and Chua T. Causal representation learning for out-of-distribution recommendation. In International World Wide 阅读全文

摘要： Zhang Y., Tan Y., Zhang M., Liu Y., Chua T. and Ma S. Catch the black sheep: unified framework for shilling attack detection based on fraudulent actio 阅读全文

摘要： Zhu X. and Ghahramani Z. Learning from labeled and unlabeled data with label propagation. Technical Report CMU-CALD-02-107, 2002. 概 本文通过将有标签数据传播给无标签数据 阅读全文

摘要： Lin C., Chen S., Li H., Xiao Y., Li L. and Yang Q. Attacking recommender systems with augmented user profiles. In ACM International Conference on Info 阅读全文

摘要： Zhang H., Li Y., Ding B. and Gao J. Practical data poisoning attack against next-item recommendation. International World Wide Web Conferences (WWW), 阅读全文

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： [1] Dem\check{s}ar, J. Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research (JMLR). vol. 7, pp. 1-30, 阅读全文

摘要： Chang J. Markov Chain. 符号说明 \(\mathcal{S} = \{1, 2, \cdots, N\}\), 状态空间; \(X\), 定义在状态空间 \(\mathcal{S}\) 之上的随机变量; \(\pi_0, \pi_0(i) := \mathbb{P}(X_0 = 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