期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：3
页码：553-556
语种：English
出版社：Ayushmaan Technologies
摘要：Domain-Specific Search solutions focus on one area of knowledge, creating customized search experiences, that because of the domain’s limited corpus and clear relationships between concepts, provide extremely relevant results for searchers. Domain-specific search engines are becoming increasingly popular because they offer increased accuracy and extra features not possible with general, Web-wide search engines. Unfortunately, they are also difficult and time consuming to maintain. We describe new research in reinforcement learning, text classification and information extraction that enables efficient spidering, populates topic hierarchies, and identifies informative text segments. Using these techniques, we have built a demonstration system: a search engine. This paper, proposes the Standard Web Crawler and its improved version with advanced algorithm for efficient results on Domain Specific Search.
