Affiliation:
1. School of Economics and Management, Changsha University, Changsha 410003, China
Abstract
With the development and popularization of e-commerce and Internet, more and more attention has been paid to personalized recommendation for users. The traditional user interest model only considers the user’s behavior on the project, ignoring the user’s context at that time. Pointing to the shortage that context-related factors are not considered in previous works, combining the characteristics of a mobile computing environment, this paper studies the algorithm and model of mobile service recommendation. A recommendation algorithm based on specified context filtering in mobile computing environment is proposed. The context of the classification is aggregated, by grouping the scenarios of the same category together. Through experiments, we found that the improved personalized recommendation algorithms are superior to the common collaborative filtering algorithm.
Funder
Hunan Provincial Social Science Achievement Evaluation Committee General Project
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Cited by
6 articles.
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