User preference will be impacted by other users. To accurately predict mobile user preference, the influence between users is\nintroduced into the prediction model of user preference. First, the mobile social network is constructed according to the interaction\nbehavior of the mobile user, and the influence of the user is calculated according to the topology of the constructed mobile social\nnetwork andmobile user behavior. Second, the influence between users is calculated according to the userâ??s influence, the interaction\nbehavior between users, and the similarity of user preferences. When calculating the influence based on the interaction behavior,\nthe context information is considered; the context information and the order of user preferences are considered when calculating\nthe influence based on the similarity of user preferences. The improved collaborative filtering method is then employed to predict\nmobile user preferences based on the obtained influence between users. Finally, the experiment is executed on the real data set and\nthe integrated data set, and the results show that the proposed method can obtain more accurate mobile user preferences than those\nof existing methods.
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