Component search engine based on html path and word weight

With the popularization of search engines, finding information has become easier than before. However, the information found by most search engines today is web page, which may contain more than one topic. It makes user spend extra time to read the irrelevant contents in order to find out the information he wants. We propose a novel search engine model called "Component Search Engine", which calculates the score of each component in a page by HTML path and word weight. The higher score the component gains, the higherranking it will appear at. The usability study determinates that the component search engine can find out the important contents efficiently.