2. The method as described in claim 1 , further comprising: establishing the list of candidate product words comprises: for at least one product information entry contained in a database: performing a coarse granularity segmentation by the largest semantic units; and extracting a third core product word contained in segmented results; determining whether the third core product word has been extracted from the segmented results; in the event that the third core product word has been extracted from the segmented results, performing a fine granularity segmentation by the smallest semantic units: determining whether at least two of the words obtained are product words; in the event that at least two of the words obtained are product words; using the first product word as a key product word; and using the last product word as a candidate product word of the key product word; computing correlations of at least one key product word and at least one candidate product word; determining whether the correlation of the at least one key product word and the at least one candidate product word meets a threshold value; selecting a candidate product word having a correlation that meets the threshold value; and for the same key product word, generating the list of candidate product words based on the selected candidate product word.
8. The method as described in claim 2 , wherein: the computing correlations of the at least one key product word and the at least one candidate product word comprises: vectorizing the at least one key product word based on a category click through rate, an attribute click through rate, and a product word click through rate of the each key product word; vectorizing the at least one candidate product word based on the category click through rate, the attribute click through rate, and the product word click through rate of the at least one candidate product word; and computing an angle value between the vector corresponding to the at least one key product word and the vector corresponding to the at least one candidate product word; and the selecting of the candidate product word having the correlation that meets the threshold value comprises: determining whether the at least one candidate product word has the correlation meeting the threshold value based on the obtained angle value; and selecting the candidate product word having the correlation meeting the threshold value.