Zobrazeno 1 - 10
of 362
pro vyhledávání: '"Shaoping Ma"'
Autor:
Jiayu Li, Zhiyu He, Min Zhang, Weizhi Ma, Ye Jin, Lei Zhang, Shuyang Zhang, Yiqun Liu, Shaoping Ma
Publikováno v:
JMIR Infodemiology, Vol 3, p e42721 (2023)
BackgroundAs rare diseases (RDs) receive increasing attention, obtaining accurate RD incidence estimates has become an essential concern in public health. Since RDs are difficult to diagnose, include diverse types, and have scarce cases, traditional
Externí odkaz:
https://doaj.org/article/2c544e651da542e8b758313c51c7ae75
Publikováno v:
AI Open, Vol 1, Iss , Pp 40-56 (2020)
Search engines are widely used in our daily life. Batch evaluation of the performance of search systems to their users has always been an essential issue in the field of information retrieval. However, batch evaluation, which usually compares differe
Externí odkaz:
https://doaj.org/article/a0e46da80ed0472d939e7af0385092c8
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Self-awareness is an essential concept in physiology and psychology. Accurate overall self-awareness benefits the development and well being of an individual. The previous research studies on self-awareness mainly collect and analyze data in the labo
Externí odkaz:
https://doaj.org/article/73989f69128b4b588af13c46df91933e
Autor:
YUNQIU SHAO1 shaoyq18@mails.tsinghua.edu.cn, HAITAO LI1 liht22@mails.tsinghua.edu.cn, YUEYUE WU1 wuyueyue1600@gmail.com, YIQUN LIU1 yiqunliu@tsinghua.edu.cn, QINGYAO AI1 aiqy@tsinghua.edu.cn, JIAXIN MAO2 maojiaxin@gmail.com, YIXIAO MA1 ma-yx16@tsinghua.org.cn, SHAOPING MA1 msp@tsinghua.edu.cn
Publikováno v:
ACM Transactions on Information Systems. Mar2024, Vol. 42 Issue 2, p1-27. 27p.
Autor:
YIXIAO MA1 mayx20@mails.tsinghuaedu.cn, YUEYUE WU1 wuyueyue1600@gmail.com, QINGYAO AI1 aiqingyao@gmail.com, YIQUN LIU1 yiqunliu@tsinghua.edu.cn, YUNQIU SHAO1 shaoyunqiu14@gmail.com, MIN ZHANG1 z-m@tsinghua.edu.cn, SHAOPING MA1 msp@tsinghua.edu.cn
Publikováno v:
ACM Transactions on Information Systems. Mar2024, Vol. 42 Issue 2, p1-28. 28p.
Publikováno v:
ACM Transactions on Information Systems. 41:1-32
Legal case retrieval, which aims to retrieve relevant cases given a query case, has drawn increasing research attention in recent years. While much research has worked on developing automatic retrieval models, how to characterize relevance in this sp
Publikováno v:
ACM Transactions on Information Systems. 41:1-25
Recommendation systems play an important role in alleviating the information overload issue. Generally, a recommendation model is trained to discern between positive (liked) and negative (disliked) instances for each user. However, under the open-wor
Autor:
Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma
Publikováno v:
ACM Transactions on Information Systems. 41:1-31
As recommender systems become increasingly important in daily human decision-making, users are demanding convincing explanations to understand why they get the specific recommendation results. Although a number of explainable recommender systems have
Publikováno v:
ACM Transactions on Information Systems. 41:1-35
Result ranking is one of the major concerns for Web search technologies. Most existing methodologies rank search results in descending order of relevance. To model the interactions among search results, reinforcement learning (RL algorithms have been
Publikováno v:
ACM Transactions on Information Systems. 41:1-27
Sequential recommendation has become a trending research topic for its capability to capture dynamic user intents based on historical interaction sequence. To train a sequential recommendation model, it is a common practice to optimize the next-item