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Research On Web Search Intelligent Optimization Of Inner Mongolia Agricultural Material Service Platform

Posted on:2020-10-24Degree:MasterType:Thesis
Country:ChinaCandidate:Z XingFull Text:PDF
GTID:2428330590459763Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The agricultural enterprise e-commerce service platform is an important carrier of modern agricultural services.With the rapid increase in the number of service providers on the platform,the number of services provided by service providers has shown an exponential growth trend.The platform currently has a traditional keyword-based Web search engine.It can only search for clear data provided by users.The search results are highly repetitive,users are difficult to identify,and the degree of intelligence is low.It is more and more difficult for platform users to quickly and accurately obtain the required services on the platform.Inaccurate and incomplete,the user's satisfaction with using Web search services is low.Therefore,the intelligentization of the web search of the agricultural e-commerce service platform is an urgent problem to be solved.Taking the “Supply and Selling E Home” Inner Mongolia Local Station as the research object,this paper studies its Web search intelligent optimization search algorithm.Firstly,the research status of search engine intelligent optimization at home and abroad is reviewed,and the advantages and disadvantages of traditional Web search algorithms and existing intelligent optimization algorithms are expounded.Secondly,the paper analyzes the status quo of "supply and sales e-home" and finds that it uses the traditional keyword-based search algorithm,does not support the use of natural language for query,and the existing intelligent optimization algorithm improves the intelligence degree of "supply and sell e-home" Not obvious.Therefore,the intelligent optimization algorithm based on user behavior is constructed,and the natural language processing model is added to the search engine preprocessing process,which overcomes the shortcomings of only supporting the search for explicit data.At the same time,in the search service process,the user behavior is modeled and constructed.The dynamic user group classification system makes the search results more targeted and comprehensive.The intelligent optimization algorithm based on user behavior improves the intelligence of the search engine and improves the search effect by improving these two processes.Then,in order to effectively evaluate the search engine effect change,a search effect evaluation model based on user feedback is constructed,and the effectiveness of the intelligent optimization algorithm to improve the search effect is verified by the data.Finally,through the experimental conclusions,the countermeasures are proposed for the “supply and sales e-home”.The research results show that the intelligent optimization search algorithm based on user behavior can effectively improve the intelligence of the web search of the agricultural service platform,and thus improve the user satisfaction,and has certain application value to the web search service of the farmer e-commerce service platform.It is a meaningful attempt,and it has certain applicability and reference value to the theoretical research of Web search optimization in the agricultural e-commerce service platform industry.
Keywords/Search Tags:Agricultural resource service platform, Web search, search intelligent optimization, search engine evaluation
PDF Full Text Request
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