Application And Research On Smart Museum Guide System

With the development of Internet technology in recent years, it has profound influence on museum. Smart Museum is an outcome with Internet technology and traditional museum and the goal is to spread culture and provide a better tour experience. Nowadays, many Internet technologies and computer technologies bring challenges and opportunities for the research of Smart Museum. Therefore, it has great value to do research on the use of recommendation technologies in Smart Museum Guide System.This paper introduces the research status of today’s Smart Museum and four kinds of recommendation algorithms. On this basis, this paper analyzes advantages and disadvantages of these recommendation algorithms. In this paper, we present a cultural relic correlation model and design a two-step cultural relic hybrid recommendation algorithm for Smart Museum Guide System. The detail research works of this paper are as follows:1. On the basis of analyzing cultural relic data from database of Museum of Zhejiang province, combing with current similarity algorithms, we present a cultural relic correlation model. We also use different similarity algorithms to do a comparative experiment and choosing better similarity algorithm combing into our system.2. By Analyzing factors affecting recommended degree of cultural relic in Smart Museum Guide System and problems in traditional collaborative filtering algorithm and combing with cultural relic correlation model and cultural relic estimated score model, we present a two-step cultural relic hybrid recommendation algorithm for Smart Museum Guide System. We also do a comparative experiment and the results show our algorithm is faster than traditional algorithm.3.In this paper, we design and implement a Smart Museum Guide System based on hybrid architecture. The target users of Guide System are museum managers and visitors. The Smart Museum Guide System provides a better tour experience for museum visitors and facilitates museum managers.