论文标题
基于排名学习的跨媒体科学研究成就查询
Cross-media Scientific Research Achievements Query based on Ranking Learning
论文作者
论文摘要
随着信息时代的出现，Internet上的数据规模越来越大，并且充满了文本，图像，视频和其他信息。与社交媒体数据和新闻数据不同，科学研究成就信息具有许多专有名词的特征和强烈的歧义。基于关键字的传统单模查询方法无法再满足科学技术部的科学研究人员和经理的需求。科学研究项目信息和科学研究学者信息包含大量有价值的科学研究成就信息。评估科学研究项目和科学研究团队的产出能力可以有效地帮助管理人员决策。鉴于上述背景，本文从四个方面阐述了研究状态：科学研究结果的特征学习，跨媒体研究结果查询，对科学研究结果的学习排名以及跨媒体科学研究成就查询系统。
With the advent of the information age, the scale of data on the Internet is getting larger and larger, and it is full of text, images, videos, and other information. Different from social media data and news data, scientific research achievements information has the characteristics of many proper nouns and strong ambiguity. The traditional single-mode query method based on keywords can no longer meet the needs of scientific researchers and managers of the Ministry of Science and Technology. Scientific research project information and scientific research scholar information contain a large amount of valuable scientific research achievement information. Evaluating the output capability of scientific research projects and scientific research teams can effectively assist managers in decision-making. In view of the above background, this paper expounds on the research status from four aspects: characteristic learning of scientific research results, cross-media research results query, ranking learning of scientific research results, and cross-media scientific research achievement query system.
