• 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 ...


    摘要截止日期: TBD


  • 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

Modeling Buying Motives for Personalized Product Bundle Recommendation 2019-12-13 20:40:23
Product bundling is a marketing strategy that offers several products/items for sale as one bundle. While the bundling strategy has been widely used, less efforts have been made to understand how items should be bundled with respect to consumers’ preferences and buying motives for product bundles. T... || 主题模型;生成模型;解释;利用物品特征和集合关系构造物品之间的联系;构图模式; || HUI XIONG...

Temporal Relational Ranking for Stock Prediction 2019-12-06 21:44:54
Stock prediction aims to predict the future trends of a stock in order to help investors to make good investment decisions. Traditional solutions for stock prediction are based on time-series models. With the recent success of deep neural networks in modeling sequential data, deep learning has becom... || Stock Prediction, Learning to Rank, Graph-based Learning, GCN; 股票收益预测; || FULI FENG, XIANGNAN HE...

We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs. We motivate the choice of our convolutional architecture via a localized first-order approximation of spectral... || GCN; 图卷积简化过程; || Thomas N. Kipf; Max Welling...

Adversarial Substructured Representation Learning for Mobile User Profiling 2019-12-03 19:55:49
Mobile user profiles are a summary of characteristics of user-specific mobile activities. Mobile user profiling is to extract a user’s interest and behavioral patterns from mobile behavioral data. While some efforts have been made for mobile user profiling, existing methods can be improved via repre... || Mobile User Profiling, Substructure, Representation Learning; 生成对抗网络;; || Yanjie Fu; Hui Xiong...

The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems 2019-12-02 11:32:36
Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in current real-world business applications cannot yet be solved by machines alone. We, therefore, identify the need for develo... ...