An Efficient R-G-B Algorithm for Web Crawler on Information Extraction

The emergence of search engines set off an unprecedented storm of information. In recent years, a new breakthrough - vertical search, emerged on the basis of the general search engines, compared with the general search engines, it must be conducted on the pre-analysis. A successful vertical search engine must be based on the accurate extraction of a wide variety of Web information. However, unstable shooting rate and low average accuracy are common problems for the current vertical search engines. After analyzing the existing approaches, we present a new "RGB algorithm" to meet the requirement of vertical search engines on the accuracy and the efficiency of information extraction, and report preliminary experimental results to prove that the algorithm can address the issue efficiently mentioned above.