• 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


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...

Improving Purchase Behavior Prediction with Most Popular Items 2017-02-28 12:48:05
Purchase behavior prediction is one of the most important issues to promote both e-commerce companies’ sales and the consumers’ satisfaction. The prediction usually uses features based on the statistics of items. This kind of features can lead to the loss of detailed information of items. While all ... || recommender system; behavior analysis; prediction; e- commerce; session; recsys; || Chen CHEN; Jiakun XIAO; Chunyan HOU; Xiaojie YUAN...

中国计算机学会推荐国际学术期刊 2017-02-28 08:42:24
ccf; 学术期刊...