7. The method of claim 1 , wherein said processing the online recommendation result comprises: filtering the online recommendation result; calculating a semantic similarity between the online recommendation result and the current search term such that the online recommendation result has the semantic similarity that is greater than a preselected first threshold value; calculating an intention similarity between the online recommendation result and the current search term such that the online recommendation result has the intention similarity that is greater than a preselected second threshold value; or a combination thereof.
7. The method of claim 1 , wherein said processing the online recommendation result comprises: filtering the online recommendation result; calculating a semantic similarity between the online recommendation result and the current search term such that the online recommendation result has the semantic similarity that is greater than a preselected first threshold value; calculating an intention similarity between the online recommendation result and the current search term such that the online recommendation result has the intention similarity that is greater than a preselected second threshold value; or a combination thereof. 8. The method of claim 7 , further comprising ranking the generated online recommendation result generated by said filtering, said calculating the semantic similarity, said calculating the intention similarity, said calculating the literal association degree, said calculating the semantic association degree, or a combination thereof.