• WWW 23

    The Web Conference. The Web Conference is the premier conference focused on understanding the current state and the evolution of the Web through the lens of computer science, computational social science, economics, policy, and many other disciplines. The Web Conference (formerly www conference) is a yearly interna ...

    Austin, Texas, USA,

    摘要截止日期: October 6, 2022

    正文截止日期: October 13, 2022

  • AAAI 23

    the American Association for Artificial Intelligence. Founded in 1979, the Association for the Advancement of Artificial Intelligence (AAAI) (formerly the American Association for Artificial Intelligence) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and ...

    Washington, DC, USA,

    摘要截止日期: August 8, 2022

    正文截止日期: August 15, 2022

  • SIGIR2022

    the Association for Computing Machinery’s Special Interest Group on Information Retrieval. SIGIR is the Association for Computing Machinery’s Special Interest Group on Information Retrieval. Since 1963, we have promoted research, development and education in the area of search and other information access technologies. ...

    Madrid, Spain, July 11th to 15th, 2022

    摘要截止日期: January 21, 2022

    正文截止日期: January 28, 2022

  • WSDM2023

    ACM International Conference on Web Search and Data Mining. WSDM is a highly selective conference that includes invited talks, as well as refereed full papers. WSDM publishes original, high-quality papers related to search and data mining on the Web and the Social Web, with an emphasis on practical yet principled novel models of search and data mining, algor ...

    TBD,

    摘要截止日期: TBD

    正文截止日期:

  • IJCAI2022

    The International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence is a non-profit corporation founded in California, in 1969 for scientific and educational purposes, including dissemination of information on Artificial Intelligence at conferences in which cutting-edge scientific results are presented and t ...

    Austria, July 23-29, 2022

    摘要截止日期: January 7, 2022

    正文截止日期: January 14, 2022


基于排序学习的推荐算法研究综述 2017-12-09 20:50:23
排序学习技术尝试用机器学习的方法解决排序问题,已被深入研究并广泛应用于不同的领域,如信息检 索、文本挖掘、个性化推荐、生物医学等.将排序学习融入推荐算法中,研究如何整合大量用户和物品的特征,构建 更加贴合用户偏好需求的用户模型,以提高推荐算法的性能和用户满意度,成为基于排序学习推荐算法的主要任务. 对近些年基于排序学习的推荐算法研究进展进行综述,并对其问题定义、关键技术、效用评价、应用进展等进行概 括、比较和分析.最后,对基于排序学习的推荐算法的未来发展趋势进行探讨和展望.... || 排序学习;推荐算法;机器学习;兴趣模型;个性化服务; 从统计的角度考虑模型的构造和学习; || 黄震华, 张佳雯, 田春岐, 孙圣力, 向 阳...

特征工程 2017-08-21 23:39:32
毕达几何...

[手稿]对于假设检验的理解 2017-08-17 19:47:12
p value; p值; || 毕达几何...

Learning to Recommend Accurate and Diverse Items 2017-07-28 14:12:23
In this study, we investigate diversified recommendation problem by supervised learning, seeking significant improvement in diversity while maintaining accuracy. In particular, we regard each user as a training instance, and heuristically choose a subset of accurate and diverse items as ground- trut... || WWW; Diversity; Collaborative filtering; Recommender systems; Structural SVM; || Peizhe Cheng; Shuaiqiang Wang...

[总结] 关于激活函数 2017-07-27 15:02:35
sigmoid; tanh; ReLu 相关图像, 性质等... || 激活函数; sigmoid; tanh; ReLu; || 毕达几何...

Neural Collaborative Filtering 2017-07-27 13:36:31
In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has received relatively less scrutiny. In this work, we strive to develop techniques base... || Collaborative Filtering, Neural Networks, Deep Learning, Matrix Factorization, Implicit Feedback; NeuMF; || Xiangnan He; Hanwang Zhang...

[总结] 从MLE到MAP解析概率模型的那些套路 2017-07-21 20:02:02
总结MLE(极大/最大似然估计)和MAP(极大后验估计)相关概念和套路,并将此套路类比其他类似的概率模型. 从而试图找到这其中的规律,帮助以后更好的分析相类似的模型... || 极大似然;极大后验;PMF与MF;LDA;生成模型;概率模型; || 毕达几何...