22. The computer-implemented method of claim 21 , wherein the item category represented by the item category vector is automatically determined to be the at least one category recommendation if the similarity between the item vector and the at least one category vector is greater than a threshold value.
22. The computer-implemented method of claim 21 , wherein the item category represented by the item category vector is automatically determined to be the at least one category recommendation if the similarity between the item vector and the at least one category vector is greater than a threshold value. 23. The computer-implemented method of claim 22 , wherein the similarity between the item vector and the at least one category vector comprises at least one of the deviation of the angles of the respective vectors and the cosine of the angles of the respective vectors.