Analysis And Design Of Corwdsourcing Website Based On LAMP

With the rapid development of the Internet, there are more and more Internet companies. The competition of the Internet industry increases faster than ever before.The viability of an enterprise depends a lot on the ability of innovation, research and development. In traditional situation, companies need spend a lot of resources in innovation and R & D. It is a great challenge for small and medium-sized companies. Based on the background, this paper presents the crowdsourcing website based on LAMP. In the mode of crowdsourcing, consumers will participate in the process of R & D that can help companies make sure the demand for the product quickly and accurately. Also it can help reduce R & D costs and lift the competitiveness of enterprises in the market greatly.First of all, this paper introduces the current crowdsourcing research, development of status and describes the technical background and framework of LAMP. Then according to the characteristics of crowdsourcing, this paper designs the database and analysis of the requirements of the system. Next, this paper designs every functional modules based on the requirements of the system. Among the various modules, this paper mainly studies the recommended module and filter module of users. recommended module by users builts a mathematical model for the user behavior of crowdsourcing platform based on the collaborative filtering algorithm and verify the performance of the user recommendation algorithm according to the simulation。User Filter modules include front-end module, back-end module and interface module. Interface module defines a new way to transport the data——the multi-level interaction。Multi-level interaction dynamically transport the appropriate data which effectively reducing the page loading time。In the back-end module, this paper mainly studies the merging algorithm of the sub-filter which can prompt the efficiency both in time and space. And then, this paper also does some work on the system security and performance optimization. At last, using the previously proposed methods and framework, the paper designs and inplements a practical crowdsourcing website based on LAMP which indicates the research results in this article to meet the needs of data and business logic.