1National Science Library, Chinese Academy of Sciences, Beijing 100190, China 2Department of Library, Information and Archives Management, University of Chinese Academy of Sciences, Beijing 100190, China
[Objective] This paper proposes a framework for precise service of scholarly big data, aiming to improve knowledge acquisition of researchers. [Methods] First, we analyzed the status quo of online precision services. Then we summarized and compared the methods of precision services from the perspectives of data organization, technical methods and application scenarios. Finally, we designed the framework for academic eco-chain of scientific research. [Results] The framework connected data production, technology research and application development, which supported the precise search and recommendation of sci-tech data. [Limitations] More research is needed to evaluate the framework with real-world cases. [Conclusions] This proposed framework could help us build better academic precision search systems.
谢靖,钱力,师洪波,孔贝贝,胡吉颖. 科研学术大数据的精准服务架构设计*[J]. 数据分析与知识发现, 2019, 3(1): 63-71.
Jing Xie,Li Qian,Hongbo Shi,Beibei Kong,Jiying Hu. Designing Framework for Precise Service of Scholarly Big Data. Data Analysis and Knowledge Discovery, DOI：10.11925/infotech.2096-3467.2018.1366.
(Hong Liang, Ren Qiuyuan, Liang Shuxian.A Comparative Study of Information Service Quality of E-commerce Sites’ Recommender Systems —— Take Taobao, Jingdong and Amazon as Examples[J]. Library and Information Service, 2016, 60(23): 97-110.)