Abstract
In order to realize the best matching search of mobile intelligent education system resources, a resource search method of mobile intelligent education system based on distributed hash table is proposed. Firstly, combine the chord system based on distributed hash table and vector space model to form a resource discovery mechanism. After locating multi-attribute resources, search the location resources based on the resource search model of chord and VSM, and then solve the similarity between query vectors and location resource vectors by establishing the vector relationship between location resources and user queries, Finally, according to the resource similarity solution results, the resources with the greatest relevance to the search content are obtained. The test results show that the value of search request blocking rate is far lower than its threshold, the search performance is good, and the matching degree of resource search results is high.
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The paper is funded by the Systematic research project on the construction of teachers’ teaching innovation team in National Vocational Colleges with No. tx20200401.
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The authors have no relevant financial or non-financial interests to disclose. Yubao Shen provided the algorithm and experimental results, wrote the manuscript, Thippa Reddy Gadekallu revised the paper, supervised and analyzed the experiment. We also declare that data availability and ethics approval is not applicable in this paper.
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Shen, Yb., Gadekallu, T.R. Resource Search Method of Mobile Intelligent Education System Based on Distributed Hash Table. Mobile Netw Appl 27, 1199–1208 (2022). https://doi.org/10.1007/s11036-022-01940-8
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DOI: https://doi.org/10.1007/s11036-022-01940-8