Design And Implementation Of A Special Product E-commerce Platform Based On IOS

With the development of social economy,the domestic tourism industry has gradually matured.And special products,as a characteristic product with both tourism and traditional consumer goods,are showing the possibility of connecting both online tourism industry and e-commerce industry with the gradual hot new retail concept in recent years.At present,though B2 C and O2 O mode e-commerce products are very mature,few products are involved in the sub-sector of special products.Therefore,consumers need an e-commerce platform that combines B2 B and O2 O modes to help people understand,purchase and distribute specialty products.This paper analyzes the types and requirements of the potential specialty consumers firstly,and then clarifies the functional characteristics of the products.At the same time,it analyzes key technologies required by the system and carries out the overall architecture and database design of the system according to the analysis results and business requirements.Secondly,according to the functional module division of system architecture,system client is specifically designed and implemented based on IOS system.Among them,we used MVC development mode to design page views,controllers and data models respectively,and then finished the design of functions like information display,product selection and order management in system.The interface was designed based on HTTP transmission protocol.We used the interface calling module which meets the RESTful-compliant to transfer data in JSON format between client and server.Then,based on Lucene,we specifically designed the full-text retrieval module for the backstage of system.We made the division of the full-text search module,designed the index domain,indexer and retriever,and chose IKAnalyzer as Chinese word breaker.At the same time,to improve the flaws of the TF-IDF-based similarity scoring model in Lucene,which is caused by thoughtless of the keyword position and leads to decline of the search accuracy,we introduced influence factor on position information to optimize retrieval accuracy of system.Finally,we tested the implemented system to prove that it can achieve the predetermined functions and has good real-time performance,stability and reliability in performance,which can meet the actual needs.