9. A method comprising: obtaining one or more recommended categories for each of multiple words in a product title; combining the one or more recommended categories for each of the multiple words to obtain a plurality of recommended categories for the product title; using a word frequency of a respective word in the multiple words under each of the plurality of recommended categories for the product title as a weight of the respective word under a respective recommended category for the product title; calculating a sum of weights of the multiple words for each of the plurality of recommended categories for the product title; and choosing one or more recommended categories for the product title based on a result of calculating the sum of weights of the multiple words for each of the plurality of recommended categories.
9. A method comprising: obtaining one or more recommended categories for each of multiple words in a product title; combining the one or more recommended categories for each of the multiple words to obtain a plurality of recommended categories for the product title; using a word frequency of a respective word in the multiple words under each of the plurality of recommended categories for the product title as a weight of the respective word under a respective recommended category for the product title; calculating a sum of weights of the multiple words for each of the plurality of recommended categories for the product title; and choosing one or more recommended categories for the product title based on a result of calculating the sum of weights of the multiple words for each of the plurality of recommended categories. 12. The method of claim 9 , wherein the choosing one or more recommended categories for the product title based on the result of calculating the sum of weights of the multiple words for each of the plurality of recommended categories comprises: ranking the plurality of recommended categories according to respective sum of weights of the multiple words for each of the plurality of recommend categories; and choosing the one or more recommended categories with top rankings as candidates of a target category.