摘要： 随着Internet的迅速发展，专题搜索引擎以其可以准确且快速提交贴切用户专题信息需求的特殊性能而越来越受到广大Internet用户的欢迎。然而，维护和更新这些专题搜索引擎却要费去太多时间。该文简要介绍了一个基于机器学习的智能中文专题搜索引擎SISE(Stock Info. Search Engine)的设计和实现。SISE充分利用机器学习机制，设计出一个仅追踪股票信息的智能网络机器人和文本分类器，从而加快信息的检索与更新，并且具有很高的查全率和查准率。

关键词: 搜索引擎, 个性化, 机器学习, 加强学习

Abstract: Under the development of Internet,domain-specific search engines are becoming increasingly popular because they can offer increased accuracy domain-specific infornation which users need.Unfortunately,they are difficult and need time to maintain.This paper describes the design and implementation of a domain-specific search engine-SISE(stock info. search engine).Making full use of the machine learning, SISE designs an intelligent Web robot which only traces the stock-pages and a text-classifier. It may quicken information retrievaling and updating . So high accuracy and integrality can be achieved.

中图分类号: 

• TP391.3