Design And Implementation Of CRBT Service Domain Oriented Intelligent Search Engine

Color Ring Back Tone(CRBT) is a business service that customed by recipient user, providing a pleasant music or a salutation to replace ordinary ring tones. After registering CRBT service, customers can set their own personalized ring tones, which will be played to the caller to replace the ordinary ring tones when they are called.In recent years, with the rapid development of CRBT service, CRBT platform in the growing number of ring tones, tens of thousands of ring tones in the user's immediate, the various kinds of ring tones made by individual ring tones producers make customers feel it's getting more difficult to make selection.AH existing access in the search approach has been unable to meet the needs of users. On the other hand, search giant Google's search technology have made rapid development of various search innovations, sub-term, indexing, sorting algorithms are constantly emerging, and there to Lucene, Nutch as the representative of the open Source search engine tools, search technology matures.Vertical search is one of the key development direction for searching technology. It's a kind of detailed and extended search engine, an integration for the websites of certain types of specialized information, targeting at the needs of field data extracted after treatment in some form back to the user. The biggest difference between vertical search engines and the general web search engines is the information on the website of structured information collected, unstructured data will be collected into a specific structure of the information and data. For the web search engine, web page is the smallest unit, while for the vertical search is structured data. These data are then stored to the database, for further processing.This paper introduces the CRBT intelligent search engine, which is a vertical search engine that uses existing search technology, oriented to CRBT platform for the development of a highly efficient and intelligent data searching. Chapter one briefly illustrates vertical search engine of the current status of development; in chapter two, the CRBT platform is described as a whole, in the view of network, data type and access way. Chapter three shows the key technologies in the area of search engine, as well as the development trend of the future. Chapter four is one of the emphases of this article, after statistician and analysis on CRBT data, it studies the feasibility to use search engine technology on CRBT platform, and puts forward the target system should have the ability to, and then designs search processes for all different access ways, in a comprehensive analysis of the system, sets forth a framework for more detailed system design, and the definition of functions and external interaction agreement between the entities. In the fifth chapter, it focuses on the CRBT intelligent search in the sub-term, fuzzy matching algorithm and key-weights algorithm technologies. The SKM algorithm is expounded verbosely, which is a kind of fuzzy-matching algorithm developed aiming to the data type of CRBT. The third section of this chapter is focused on the ranking in the search results in the course of the use of a unique algorithm weights of the word, keyword, ring items and other objects calculation of the weight of a detailed exposition. Chapter six uses existing test data to compare the efficiency with the well known algorithms, moreover discussed the performance of algorithms in detail.