Title: Research on collaborative filtering recommendation algorithm based on user interest for cloud computing
Authors: Kun He
Addresses: College of Computer Science and Technology, Changchun Normal University, Changchun 130032, China
Abstract: Aiming to resolve the mobile commerce scenario suggested problems, cloud computing technology and mobile user context are combined to propose a collaborative filtering model based on user interest in mobile scenarios. Through computing the scene similarity based on mobile users, we find similar scenarios constructed target user set current situation and then establish the item scoring scene and scoring matrix. Based on MapReduce, we propose a collaborative filtering recommendation method to realise parallel recommendation.
Keywords: mobile commerce; cloud computing; MapReduce; recommendation model.
International Journal of Internet Manufacturing and Services, 2019 Vol.6 No.4, pp.357 - 370
Received: 05 Dec 2017
Accepted: 25 Sep 2018
Published online: 28 Nov 2019 *