A Topic Correlation Judgment Algorithm Based on Weight and Threshold

The topic correlation judgment algorithm based on weight and threshold is proposed as for the problem that Web pages which are closely related to the given topic may be neglected due to not all keywords given by the users in the pages when users retrieve the topic they desire on the Internet. The algorithm retrieves the topic on the Web sites in depth by the hierarchical key structure on the basis of the hierarchical topic structure which expands uses´ given keywords into several level keywords and then judges the correlation between the topic and pages according to the comparison between keywords weights and correlation threshold in order to obtain the most desirable pages.