Research And Development Of Information Portal Website Based On Collaborative Filtering

Today's society is in the era of post information overload,intelligent recommendation technology is a better solution to the problem of information overload.This topic is derived from the actual application project--Chongqing University Science Park technology service support platform.The platform is an important component of the science and technology service system of Chongqing University Science Park,it's aim is to provide a professional,timely,comprehensive and intelligent information publishing and communication platform for Chongqing's electronic manufacturing industry.The platform will provide Chongqing information industry layout,investment and financing services,personnel training,technology service and achievement transformation,other technical services with information service means and carrier.Based on the detailed discussion of the intelligent recommendation algorithm,this paper focuses on the design,development and testing process of the information portal website based on collaborative filtering —— Chongqing University Science Park technology service support platform.PHP is an open source scripting language widely used in the field of Web development,at the same time JAVA is one of the most popular object-oriented programming languages.The system uses the PHP language to achieve the dynamic web page and uses the JAVA language to achieve the offline similarity calculation.This paper discusses the MySQL database storage engine and finally selects the MyISAM storage engine to implement the database.The system uses the B/S architecture and uses the MySQL database in the development process,it uses the Xenu Link Sleuth tool and the Microsoft Web Stress Tool Application tool in the testing process.Aiming at the electronic information industry,the system subdivides the demand for information industry in Chongqing into investment and financing services,personnel training,scientific and technological services and their achievements transformation,and other scientific and technological services by customizing specific information catalogs,ensures the professionalism of the information platform,at the same time,the system has scalability.The system can provide personalized service for different types of users and provide intelligent recommendation.The system has clear and strict limits of authority,ensures the effectiveness,reliability and practicability of the user's information release.The system began trial operation in July 2015 and was formally launched on October 2015 after 3 months,the system runs in good condition and has received better feedback and evaluation.