| The search engine is one of the today’s Internet is the most important and complex application systems. Experienced big changes in Internet technology, the search engine contains only basic information from the original search function towards the era of comprehensive information on engine with intelligent, interactive, context-aware, and many other features. How to accurately identify the user’s search intent and to show to the user with rich show in the form of high-quality results become the focus of the study of the major search engines.A search engine is the first in the country to launch a visual search results, the precise structure of the results are presented to the user, and allows users to interact on the search results page, resulting in a richer, more in line with the user’s query intent of search results. Visual search results integrated use of natural language processing, machine learning techniques to identify user needs, Java, JavaScript, XML and other technologies used in the implementation. To stay on the search results page is greatly extended, enhanced search engine position as the first entrance of the Internet.Of paper topic, participated in the function Design and Implementation of a visual search of the search engine results, the work involved in needs analysis, outline design, detailed design, and coding phases, and bear dozens of specific application projects development. This paper first introduces the topic of background:the basic architecture of the search engine, and each module are described. A detailed needs analysis and visual search results, and briefly describes the technology used in the development process. Then of visual search results module design and implementation of the highlights about each of the detailed design and each module. Finally authors Division internship in a company search for the actual project, for example, describes the processes and methods of application development based on the function. |
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