计算机应用与软件2017，Vol.34Issue(9)：97-102,137,7.DOI:10.3969/j.issn.1000-386x.2017.09.020
基于混合相似度和信任传播的位置推荐系统
LOCATION RECOMMENDATION SYSTEM BASED ON HYBRID SIMILARITY AND TRUST PROPAGATION
戚文博 1张曦煌1
作者信息
- 1. 江南大学物联网工程学院 江苏无锡214000
- 折叠
摘要
Abstract
Nowadays there are a large number of mobile social applications based on location recommendation.This paper proposes a method to provide a hybrid similarity and trust propagation location recommendation system based on CF algorithm.The scheme consists of three elements,and the user preference is divided into user static preferences and user dynamic preferences.Static user preference is mainly type information and historical evaluation based on the location,and the dynamic user preference is based on geographic information and two-dimensional cloud model.The users' social relationship is based on the information that is propagated by trust.The advantage of this method is that not only the diversity of user preferences is considered,but also the data sparseness can be effectively alleviated by trust propagation.And apply Hadoop to improve the data processing ability of computing platform.Compared with the existing methods,the proposed location recommendation based on CF algorithm is more accurate and efficient to predict the users' preferences for new locations.关键词
位置推荐/信任传播/协同过滤/MapReduceKey words
Location recommendation/Trust propagation/Collaborative filtering/MapReduce分类
信息技术与安全科学引用本文复制引用
戚文博,张曦煌..基于混合相似度和信任传播的位置推荐系统[J].计算机应用与软件,2017,34(9):97-102,137,7.
