| With the development of the electronic commerce, general search engines of electronic commerce network system have been unable meet the requirements of the search today, electronic commerce network higher request to the search engine. Need to supply information for the user demand, at the same time in view of the existing search engine retrieval is too broad and not to a specific user needs, the electronic commerce development and application of vertical search engine gradually.Electronic commerce plays an important role in the field of Internet.More and more users and enterprises have engaged in e-commerce.However,general search engine can’t provide better service to today’s electronic commerce.Therefore vertical search engine is gradually accepted and loved by the users,and it greatly increases the users’ demand for shopping. Although the vertical search engine has already entered all walks of life, search engines for e-commerce aren’t so available yet. this paper carries out deep study and analysis on electronic commerce vertical search engine.This paper focuses on the design and implementation technology of vertical search engine for e-commerce. This paper studies the design architecture and working principle of vertical search engine and general search engines, and compares the differences and similarities between them, introduce and study the key technology, including the open source web spider, Chinese word segmentation, topic related degrees, sorting algorithms and Lucene and other knowledge. Focusing on the personalized recommendation algorithm for vertical search engine. On this basis, around the needs of vertical search engines,put forward the method for personalized recommendation based on matrix filling algorithm, using Tmall data to compare and analyze the feasibility of the algorithm. To solve the problem of e-commerce search engine can not be accurately recommended. On this basis, around the system structure of Electronic Commerce Search engine, design and implementation the system for vertical search engine based on Lucene and Heritrix for electronic commerce. The development of vertical search engine which is opposite to e-commerce is very realistic. |