Market Intelligence And Personalized Push Based On IOS Of Group Companies

In the big data and the growing number of users of complex collaborative environment, how to be able to fully integrate the existing human resources, business and data resources, so that enterprises can be timely exchange of information resources and access to, which is to improve the competitiveness of an enterprise a key factor in strength and business efficiency. But how to combine the different characteristics of the task the user’s role in the process of dynamic collaboration of many people, the corresponding push relevant resource management and information, is a dynamic collaborative process difficulty, but also the focus of enterprise intelligence support.This article will push personalized and iOS this vast amount of users stable platform combining research collaborative filtering(Collaborative Filtering recommendation) technology, by analyzing the user interested in finding similar users specified user group, the combination of these user groups of a message evaluation of the extent of the specified user preferences prediction, it will be a big boost enterprise mobile marketing. The main work includes:(1) Research on context-aware mobile recommendation system frameworkFirst, the definition of situational awareness and context-aware computing and sensing system of the basic structure theory elaborated; secondly, to discuss a common framework and context-aware mobile and traditional PC Recommended comparative analysis, based on the characteristics of mobile recommendation proposed and designed based on context-aware mobile platform recommended framework; and finally, depending on the content business scenarios to push classified.(2) Several collaborative filtering algorithm based on personalized service push inquiryCollaborative filtering under user-based collaborative filtering and conduct a detailed study based on collaborative filtering algorithm description of the project and in the enterprise scenario, a user-centric, context-aware segments use several personalized push services research scenarios, respectively is role-based, personalized push services, based on regional markets as well as personalized push services based on user behavior in real-time, personalized push services, and based on these types of push services to organize and improve the algorithm.(3) Set up services architecture of Web Service and data storage in iOS platforms.This article was established to support a variety of platforms Web Service architecture service platform, server and mobile client uses SOAP requests and corresponding XML data format for transmission of data, to ensure timeliness and accuracy of data transmission, to achieve a variety of platforms for collaborative applications.Meanwhile, nearly two years to study the iOS platform launched CloudKit cloud service components as well as its advantages, in some cases it can be used as a server to store large amounts of complex data in order to reduce the transmission of pressure Enterprise Server. In this paper, we use technology to achieve CloudKit store complex data analysis iOS mobile side, while, according to the Anhui APP sales analysis capabilities of the associated mobile interface design.