Abstract
The traditional vertical search method only considers the content of the webpage, and the global master node is not enough, which will lead to premature convergence and fall into the local optimum, resulting in insufficient multi-dimensional search of resources. Therefore, this paper proposes a multidimensional resource vertical edge based on the calculation of English subject search method. This paper analyzes the architecture of search engine firstly and then introduces the multiaccess edge computing architecture. At last, it constructs the vertical search task computing model of multidimensional resources in English discipline. By associating and traversing the attributes of multidimensional resources of English discipline, the vertical search of attribute information is realized offline, and the vertical search method of multidimensional resources of English discipline based on edge calculation is designed. In order to verify the effectiveness of the proposed method, a comparative experiment is designed. Experimental results show that the method can improve the resource search ratio and recall ratio, and it can also effectively improve the search efficiency. For an English subject resource data of 50 MB, the calculation methods of edge multidimensional resource data search recall rate can reach 97% and multidimensional resource data search time consumption is only 39 ms. The experimental results show that the performance of English subject multidimensional resources vertical search is much better.
Highlights
Current search engine on the overall development direction is divided into two categories. e first is to maintain the comprehensive characteristics of general search engines
Based on Lucene’s big data subject oriented method [9], the vertical search engine on the basis of comprehensive study of the search method, this paper proposes a design for a particular topic of vertical search engine based on Lucene solution, using modular thought to the overall design, and the vertical search engine is divided into a collection subsystem, the index system, and query subsystem, with the subsystems not relying on each other, and the subject language information search engine is used as an example
In order to solve the problem that the traditional vertical resource search method is not enough to grasp the whole world and that it is easy to converge too early and fall into the local-optimum trap, a vertical multidimensional resource search method in English subject based on edge calculation is proposed
Summary
Current search engine on the overall development direction is divided into two categories. e first is to maintain the comprehensive characteristics of general search engines. Liu et al proposed a multidimensional intelligent scheme [11], which can be used to achieve stringent yet diverse QoS with limited resources in wireless communication system It can improve the search efficiency effectively. E main motivation of this is to propose a new pricing scheme based on multidimensional searching and mobile cloud computing These methods improve the performance of resources searching in English discipline to a certain extent, they still cannot meet our demands. Aiming at the problems of the above methods, this paper proposes a vertical search method for multidimensional resources of English subject based on edge calculation. Is new method takes the advantages of multidimensional resource search and edge computing to improve the performance of English discipline. (2) We propose a vertical search method of multidimensional resources in English discipline based on edge computing.
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