Design of a streaming media player based on fuzzy searching

Nowadays, lots of music software in the market are used broadly by people in daily life. However there are still something to be improved. First of all, considering the large quantity of music, it is difficult for users to search for a song with full information. Second, due to the easy-interference of the mobile network, it may cause a bad experience because of the delay when playing music. In this paper, we designed a streaming media player based on Android to improve these deficiencies. On the one hand, two transfer methods were designed and can be selected by users to fit the network situation. On the other hand, two fuzzy searching methods was compared in this paper, and the Levenshtein distance was finally adopted to retrieve a song with partial information. Furthermore the system was programmed with the Java language, Android system framework and SSH (Struts + Spring + Hibernate) framework. Some necessary modules was contained in the system such as user center, logging in, registering and others. The test results demonstrated that the player performances well in various network situations. The Levenshtein algorithm can find out all of songs which matching the input information with less time and the result of fuzzy searching can be sorted by the correlation value between the search results and the input information.