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Research paper explores cross-media science and technology information retrieval

This paper, submitted to arXiv, explores the challenges and significance of cross-media science and technology information retrieval. It highlights the limitations of traditional keyword-matching systems in handling the diverse characteristics of scientific data. The research proposes a deep semantic feature-based approach to improve retrieval capabilities, aligning with current technological trends. AI

IMPACT This research aims to improve information retrieval systems for scientific data, potentially aiding researchers in tracking technological advancements.

RANK_REASON The item is a research paper submitted to arXiv. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Research paper explores cross-media science and technology information retrieval

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The item is a research paper submitted to arXiv. [lever_c_demoted from research: ic=1 ai=0.7]
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56 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yang Jiang, Zhe Xue, Ang Li ·

    Research on Cross-media Science and Technology Information Data Retrieval

    arXiv:2204.04887v3 Announce Type: replace-cross Abstract: 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 …