Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification [0.03%]
基于协同过滤的属性感知推荐系统：调查与分类
Wen-Hao Chen,Chin-Chi Hsu,Yi-An Lai et al.
Wen-Hao Chen et al.
Attribute-aware CF models aim at rating prediction given not only the historical rating given by users to items but also the information associated with users (e.g., age), items (e.g., price), and ratings (e.g., rating time). This paper sur...
Application of a Novel Subject Classification Scheme for a Bibliographic Database Using a Data-Driven Correspondence [0.03%]
一种新型主题分类方案在书目数据库中的应用及数据驱动的对应关系
Kei Kurakawa,Yuan Sun,Satoko Ando
Kei Kurakawa
A novel subject classification scheme should often be applied to a preclassified bibliographic database for the research evaluation task. Generally, adopting a new subject classification scheme is labor intensive and time consuming, and an ...
Human Cell-Based in vitro Phenotypic Profiling for Drug Safety-Related Attrition [0.03%]
基于人类细胞的体外表型筛选在药物安全性评估中的作用
Ellen L Berg
Ellen L Berg
Ensuring the safety of new drugs is critically important to regulators, pharmaceutical researchers and patients alike. Even so, unexpected toxicities still account for 20-30% of clinical trial failures, in part due to the persistence of ani...
Xiaowei Jia,Ankush Khandelwal,Kimberly Carlson et al.
Xiaowei Jia et al.
Plantation mapping is important for understanding deforestation and climate change. While most existing plantation products are created manually, in this paper we study an ensemble learning based framework for automatically mapping plantati...
A Review of Microsoft Academic Services for Science of Science Studies [0.03%]
微软学术服务助力科学计量研究综述式评论论文
Kuansan Wang,Zhihong Shen,Chiyuan Huang et al.
Kuansan Wang et al.
Since the relaunch of Microsoft Academic Services (MAS) 4 years ago, scholarly communications have undergone dramatic changes: more ideas are being exchanged online, more authors are sharing their data, and more software tools used to make ...
Martin Werner
Martin Werner
This paper provides an abstract analysis of parallel processing strategies for spatial and spatio-temporal data. It isolates aspects such as data locality and computational locality as well as redundancy and locally sequential access as cen...
Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century [0.03%]
开放科学、开放数据和开放 scholarship：欧洲政策使科学适应二十一世纪
Jean-Claude Burgelman,Corina Pascu,Katarzyna Szkuta et al.
Jean-Claude Burgelman et al.
Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of t...
Kate Duffy,Thomas Vandal,Shuang Li et al.
Kate Duffy et al.
The growing volume of Earth science data available from climate simulations and satellite remote sensing offers unprecedented opportunity for scientific insight, while also presenting computational challenges. One potential area of impact i...
ScholarCitation: Chinese Scholar Citation Analysis Based on ScholarSpace in the Field of Computer Science [0.03%]
基于学者空间的计算机领域学者引文分析——ScholarCitation系统构建与分析报告
Hanting Su,Zhuoya Fan,Chen Cao et al.
Hanting Su et al.
Citation analysis is one of the most commonly used methods in academic assessments. Up to now, most of academic assessments are based on English literature, ignoring the fact that the role of Chinese papers in academic assessments has becom...
Murat Sariyar,Irene Schlünder
Murat Sariyar
Profiling of individuals based on inborn, acquired, and assigned characteristics is central for decision making in health care. In the era of omics and big smart data, it becomes urgent to differentiate between different data governance aff...