sentences: 0: Traditional model of association rule mining is adapted to handle weighted association rule mining problems where each item is allowed to have a weight. 1: The goal is to steer the mining focus to those significant relationships involving items with significant weights rather than being flooded in the combinatorial explosion of insignificant relationships. 2: We discuss the use of association rules mining algorithm to push information automatically, and proposed mixed weighted association rules mining algorithm that apply to information push. 3: We identify the related information set and the vertical weight through the analyzing of users’ behavior, and use the Google’s PageRank algorithm to define the horizontal weight of information. 4: At last, we evaluate our algorithm against the traditional Apriori algorithm in information push, thereby justifying empirically the strength of our approach.