1. An electricity consumption behavior recommendation apparatus, comprising: a storage unit, being stored with an appliance efficiency value and an electricity-consuming parameter value for each of a plurality of users; and a processing unit electrically connected to the storage unit, being configured to generate a plurality of first temporary values by multiplying the appliance efficiency value of each of the users with the electricity-consuming parameter value of each of the users individually, generate a power saving matrix by using the first temporary values, generate a plurality of second temporary values by subtracting the electricity-consuming parameter value of each of the users from the electricity-consuming parameter value of each of the users individually, generate a changing willingness matrix by using the second temporary values, calculate a transform probability matrix by using the power saving matrix and the changing willingness matrix, calculate an eigenvalue and an eigenvector of the transform probability matrix, determine a ranking position of each of the users according to the eigenvalue and the eigenvector, wherein each of the users corresponds to an electricity consumption behavior, wherein the processing unit further recommends different electricity consumption behavior to different users by providing an electricity consumption mode of a first user to a second user ranked behind the first user to tell the second user how to save power by changing an electricity consumption mode of the second user, wherein the electricity consumption mode of the second user is changed based upon the recommended different electricity consumption behavior, and wherein the first user and the second user are comprised in the users.