• IJCAI-2021

    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 ...

    Montreal, Canada, Aug 21, 2021 - Aug 26, 2021

    摘要截止日期: Jan 12, 2021

    正文截止日期: Jan 18, 2021

  • SDM-2020

    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 ...

    Cincinnati, Ohio, U.S., May 7 - 9, 2020

    摘要截止日期: October 4, 2019

    正文截止日期: October 11, 2019

  • DASFAA-2020

    International Conference on Database Systems for Advanced Applications. DASFAA is an annual international database conference, which showcases state-of-the-art R&D activities in database systems and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry. ...

    Jeju, Korea, May 21-24, 2020

    摘要截止日期: December 13, 2019

    正文截止日期: December 20, 2019

  • WWW-2020

    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 ...

    TAIPEI, April 20 to April 24, 2020

    摘要截止日期: 10-7-2019

    正文截止日期: 10-14-2019

  • CIKM-2019

    ACM International Conference on Information and Knowledge Management. The ACM International Conference on Information and Knowledge Management (CIKM), currently sponsored by ACM SIGIR (since 1993) and ACM SIGWEB (since 2006), is a top-tier ACM conference in the areas of information retrieval, knowledge management and databases. Since 1992, it has successfully brought ...

    Beijing, China, Nov 3, 2019 - Nov 7, 2019

    摘要截止日期: 2019-05-15

    正文截止日期: 2019-05-22


ssl详解及使用nginx搭建https服务器 2017-03-10 10:49:21
配置ssl和nginx, 使得服务器进行https传输, 保证传输安全... || nginx; https; http; ssl; || cnblogs...

2016年关于推荐系统的几个重要会议论文整理 2017-03-06 14:16:00
将2016年推荐领域相关的论文做一个系统的整理, 这些论文主要来源于几个核心会议: WWW, AAAI, SIGIR, Recsys, KDD, VLDB, IJCAI, CIKM, ICDM, ICDE... || 2016; 推荐系统; recommender system; conferences; || しょ のぅくぅ...

A review of reward processing and motivational impairment in schizophrenia 2017-03-05 22:13:45
Gregory P. Strauss; James A. Waltz; James M. Gold...

Worth the 'EEfRT'? The effort expenditure for rewards task as an objective measure of motivation and anhedonia 2017-03-05 15:38:04
用effrt探索个体effort-based decisioning-making及其与trait anhedonia的关系... || effort-based decisioning-making; || Micheal T. Treadway...

The motivation and pleasure dimension of negative symptoms:Neural substrates and behavioral outputs 2017-03-03 06:44:14
阴性症状主要包括两方面:动机与情绪的缺损,及言语与非言语性表达的减少,本文主要针对动机/情绪的四个方面:即时性愉快体验,期待性愉快体验,动机,行为反应与情绪状态的平衡。... || schizophrenia; pleasure; motivation; || Ann, M. Kring; Deeanna M. Barch...

GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains 2017-03-02 08:22:43
Recommender systems are frequently used in domains in which users express their preferences in the form of graded judgments, such as ratings. Current ranking techniques are based on one of two sub-optimal approaches: either they optimize for a binary metric such as Average Precision, which discards ... || Collaborative filtering, graded average precision, latent factor model, recommender systems, top-n recommendation, ranking; || Yue Shi; Alexandros Karatzoglou; Linas Baltrunas...

Extending Average Precision to Graded Relevance Judgments 2017-03-02 08:18:06
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objective functions to be optimized. Many different evaluation metrics have been proposed in the IR literature, with average p... || information retrieval, effectiveness metrics, average precision, graded relevance, learning to rank, GAP; || Stephen E. Robertson; Evangelos Kanoulas; Emine Yilmaz...