Research On Customized Logistics Information Service Under The Internet Environment

The logistics information resources are all-embracing,so how to quickly obtain the information needed by the user is very important.As the entrance of information acquisition,the performance of search engine directly determines the quality of logistics information service.At present,one hand,the traditional full web search engine has a wide range of search so the contents are difficult to focus,and the search results are not accurate.One the other hand,centralized search engine is unstable and inefficient.To design more efficient and accurate search engine are the key to provide users with logistics customized information service.In this paper,a new search engine is designed to improve the user information service experience,the main contents of this paper as following:(1)A customized logistics information search platform based on cloud computing is designed and built to improve the efficiency of information retrieval.The overall framework of the platform is built,including the system architecture,functional structure,business processes and so on.The overall function and operation mechanism of the platform is determined.In this paper,cloud computing technology is applied to the vertical search engine,using virtual resource pool for the unified management of hardware and software resources,that reduce waste of resources.Besides,the Hadoop cluster scheme is designed to realize the distributed storage and parallel processing of the information in the process of information collection,indexing and retrieval.So,the speed of data storage and processing is faster and the operation efficiency is higher.(2)Related algorithms and key technologies of search engines are researched and improved to improve the accuracy of information search.In the process of information collection,breadth-first strategy is chosen to collect the page information and the appropriate queue is designed to manage the URL link.In addition,the multilayer bloom filter is designed to eliminate duplicate URL links.Besides,the word segmentation algorithm combining forward maximum matching strategy and reverse maximum matching strategy with the statistical knowledge are proposed to improve the accuracy of segmentation.In the paper,V-PR algorithm with VSM algorithm and PageRank algorithm,considering both content relevance and link authority,is proposed to calculate the correlation degree of the topic,improving the accuracy of the vertical grasp of information;In the process of information retrieval,retrieval architecture of "Central aggregation,node search,cache assisted" is designed to make the information indexing and retrieval more accurate.(3)Finally,the adopted key technologies and improved algorithm are verified by the logistics application examples,and the further optimization recommendations are proposed.The platform is integrated based on MySql database and MyEclipse development environment.The improved algorithm is evaluated for its rationality.Furthermore,some suggestions are proposed to improve platform scalability.Experiments verify that the customized logistics information search platform based on cloud computing technology has good performance.It can provide users with more efficient information service.All in all,the study has some theoretical and practical significance.