Cross-media Scientific Research Achievements Query based on Ranking Learning
release_z7aosynjdvch7jync3vddoyouq
by
Benzhi Wang and Meiyu Liang and Ang Li
2022
Abstract
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.
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