Design And Implementation Of Home Service System Based On Mobile Internet

With the rapid development of Internet technology and the rapid popularization of the Internet,the "Internet + traditional industry" development model has subverted many traditional industries and injected new blood into the development of traditional industries.However,the current development of traditional household service industry lags behind,such as the mismatch between supply and demand information.In the era of big data,the amount of Internet data is still growing rapidly.How to effectively filter useful information from large amounts of data becomes a problem which waits to be solved.Through in-depth research on the household service industry,this paper demonstrates that the development model of "Internet + traditional household service industry" is the only way for the development of modern household service industry.Based on this,this paper uses computer technology to design and implement a home service system.The home service system includes a service background management system for administrators and a client for customers.The service background management system can help administrators conveniently manage user orders and user information and other daily tasks;the client can provide customers with a complete set of processes for family services,including selecting service providers,placing orders,and making payments.At the same time,traditional search systems currently lack semantic understanding.When users enter search text with ambiguous semantics,it is difficult for the search system to determine the actual needs of the current user,and the search results cannot satisfy the user.Therefore,this paper first explains the good and shortcomings of existing search algorithms,and proposes a fuzzy fast search algorithm,which uses the reverse filtering idea to quickly filter search keywords from database resources,improve the efficiency of search function calculation,and complete the semantic understanding of fuzzy input text.This paper also introduces the recommendation system influence factor in the search result ranking,that is,the recommendation algorithm based on the item score prediction and the user's multi-similarity is used to reorder the search results,so that the search results have astrong user ranking.The design and implementation of the home service system can effectively solve the problem of the lagging development of the traditional home service industry,effectively solve the imbalance between the supply and demand of the traditional home service industry,and bring users a convenient home service experience.