20. The method as recited in claim 13 , further comprising recording the primary keyword, the one or more related keywords and the one or more second feature values to form a keyword information table.
13. A method implemented by one or more computing devices, the method comprising: submitting a request for acquiring related keywords based on a primary keyword; in response to receiving the request, obtaining one or more related keywords having one or more second feature values that are greater than or equal to a threshold, wherein the one or more second feature values are computed based at least in part on a first feature value and one or more correlation levels; and providing the one or more related keywords for display based at least in part on the one or more second feature values, wherein: the first feature value is computed based at least in part on a search frequency of the primary keyword, the one or more correlation levels are computed based at least in part on the one or more co-search frequencies, the one or more co-search frequencies of the primary keyword and one or more related keywords and the search frequency of the primary keyword are obtained by counting search keywords, and a second feature value of the one or more second feature values is served as a parameter for determining whether a corresponding related keyword of the one or more related keywords is to be displayed constantly or in a rotating manner.