Mobile Internet Environment, The Wireless Vertical Search Engine Research And Realization

With the popularity of today's intelligent mobile handset, computing environment has changed a lot. In this era, mobile phones in the people'hand have become increasingly popular, and more and more intelligent. It is foreseeable that there will be a large number of users to skip the PC era, and directly access to the internet world using the mobile phone. In the environment of mobile internet, people's needs had changed markedly in the mobile terminal, and people may care about the topic, including news, dining and entertainment, social networking, etc., these areas have clear field characteristics. Facing with the huge demand of information retrieval, traditional search engines can not resolve the demand. In fact, in the environment of mobile internet, people need a kind of wireless vertical search engine which also has a certain degree of field depth. That is also the subject of this article.Comparing to the traditional vertical search engine on the PC, mobile vertical search engine has many different points, what is also very important for users. Lots of mobile operators charge by the flow bits, so mobile vertical search engine have to save traffic as much as posiable. Meanwhile, at the same time, with the arrival of 3G era, the speed of mobile internet doubled, so the mobile search engine's response must keep pace with the times, so we must purpose a method to make our system more speedful. In addition, the vertical search engine in this article is used to search blog, microblogging-related information; the information that is hunt for must have clear and simple features. In this particular mobile internet environment, there is a higher demand for vertical search engines. So the organizational structure of this article is: The first part understand the underlying search engine technology, introduced the use of high-performance architecture to improve the response speed of the search engines, and also introduced the technology to optimize system resources. We do it from infrastructure to meet user needs on the search engine performance, while also background vertical search engine and needs a deeper discussion. The second vertical search engine for a detailed design, including front-end technology for mobile users has been designed using the latest optimization techniques search engine optimization for mobile front-end design with the latest BigPipe technology to improve the user experience, such as sorting , searching, index, cache modules were designed, made a corresponding use of technology. The third to achieve a vertical search engine for blog, describes the PageRank algorithm and its concrete realization, vertical search engine to help sort, to achieve the design part of the design elements, such as the use Lucene to index and search, using the Memcached caching, etc. and ultimately achieve a complete search engine requirements. The fourth experimental data, the accuracy of search engines, performance evaluation. Finally, we make a summary of this paper and introduces future work.Experimental results show that, based on the vertical search engines introduced by this article, it has a much higher hit rate and browser responds to user much fastly.User experience is good.