The Feature Analysis of Commonly Used Search Engines and Strategy of Information Retrieval in Sci-Tech Novelty Retrieval

Abstract:

Indexed search engine is one of most commonly used information retrieval tools in the novelty retrieval, but in practice there are some problems: search results are too complex, precision rate is not high, the way of indexing is not uniform, and poor compatibility. In this paper, we have examined the performance evaluation of the characteristics of commonly used search engines in novelty retrieval and proposed some search strategy countermeasures.

• Periodical: Applied Mechanics and Materials (Volumes 373-375)
• Pages: 1788-1795
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.373-375.1788
• Online since: August 2013
• Authors: Yun Du, Wei Zhang, Wen Xiao, Shen Jing Chen
• Keywords: Precision Ratio, Recall Ratio, Sci-Tech Novelty Retrieval, Search Engine, Using Strategy

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