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Research on Cross-media Science and Technology Information Data Retrieval

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arxiv 2204.04887 v3 pith:BU5OVKOK submitted 2022-04-11 cs.IR cs.AI

Research on Cross-media Science and Technology Information Data Retrieval

classification cs.IR cs.AI
keywords datainformationtechnologyscienceretrievalcross-mediainternetbecome
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Since the era of big data, the Internet has been flooded with all kinds of information. Browsing information through the Internet has become an integral part of people's daily life. Unlike news data and social data on the Internet, cross-media science and technology information data has different characteristics. This data has become an important basis for researchers and scholars to track current hot spots and explore future directions of technology development. As the volume of science and technology information data becomes richer, traditional science and technology information retrieval systems, which support only unimodal data retrieval and use outdated keyword-matching models, can no longer meet the daily retrieval needs of science and technology scholars. Therefore, in view of this research background, it is of profound practical significance to study cross-media science and technology information data retrieval systems based on deep semantic features, in line with domestic and international technology-development trends.

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