Recommendation Method and Applications for Personalized Product Service Plans
YANG Zhen;GENG Xiuli
Business School,University of Shanghai for Science and Technology, Shanghai,200093
Online:2018-08-25
Published:2018-08-27
Supported by:
National Natural Science Foundation of China (No. 71301104, 51475290)
Specialized Research Fund for the Doctoral Program of Higher Education of China(No. 20133120120002, 20120073110096)
面向个性化产品服务方案的推荐方法与应用
杨珍;耿秀丽
上海理工大学管理学院,上海,200093
基金资助:
国家自然科学基金资助项目(71301104, 51475290);
高等学校博士学科点专项科研基金资助项目(20133120120002, 20120073110096);
上海市教育委员会科研创新项目(14YZ088);
上海市一流学科资助项目(S1201YLXK)
National Natural Science Foundation of China (No. 71301104, 51475290)
Specialized Research Fund for the Doctoral Program of Higher Education of China(No. 20133120120002, 20120073110096)
[1]荆羽纯,葛昊,江文,等.一种基于学习自动机的推荐算法改进[J].计算机应用研究,2016,33(1):32-34.
JING Yuchun,GE Wei,WEN Jiang,et al.Improvement of Recommendation Algorithm Based on Learning Automata[J].Journal of Computer Applications,2016,33(1):32-34.
[2]胡堰,彭启民,胡晓惠.一种基于隐语义概率模型的个性化Web服务方案推荐方法[J].计算机研究与发展,2014,51(8):1781-1793.
HU Wei,PENG Qimin,HU Xiaohui.A Recommendation Method of Personalized Web Service Scheme Based on Implicit Semantic Probability Model[J].Journal of Computer
Research and Development,2014,51(8):1781-1793.
[3]巫可,战荫伟,李鹰.融合用户属性的隐语义模型推荐算法[J].计算机工程,2016,42(12):171-175.
WU Ke,ZHAN Yinwei,LI Ying.Implicit Semantic Model Recommendation Algorithm Based on User Attributes[J].Computer Engineering,2016,42(12):171-175.
[4]DIXON P D R,SUNDARRAJ R P.A Latent Factor Model Based Movie Recommender Using Smartphone Browsing History[C]//International Conference on Research and Innovation in Information Systems.Langkawi, 2017:1-6.
[5]LUO X,ZHOU M,XIA Y,et al.Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models[J].IEEE Transactions on Neural Networks & Learning Systems,2015 ,27(3):524-537.
[6]YU Dongjin,LIU Yu,XU Yueshen,et al.Personalized QoS Prediction for Web Services Using Latent Factor Models[C]//IEEE International Conference on Services Computing.Anchorage,2014:107-114.
[7]LUO Xin,ZHOU Mengchu,LI Shuai,et al.Incorporation of Efficient Second-order Solvers into Latent Factor Models for Accurate Prediction of Missing QoS Data[J].IEEE Transactions on Cybernetics,2017,48(4): 1216-1228.
[8]ROSSETTI M,STELLA F,ZANKER M.Towards Explaining Latent Factors with Topic Models in Collaborative Recommender Systems[C]//24th International Workshop on Database and Expert Systems Applications.Los Alamitos ,2013:162-167.
[9]LUO R,GONG Y.Personalized Recommendation Based on Similarity of Cloud Model[C]//International Symposium on Knowledge Acquisition and Modeling.Wuhan,2009:356-359.
[10]JIA S,XU X,PANG Y,et al.Similarity Measurement Based on Cloud Models for Time Series Prediction[C]//Control and Decision Conference.Yinchuan,2016:5138-5142.
[11]ATHO F E C,TRAINA A J M,TRAINA C,et al.The Similarity Cloud Model:a Novel and Efficient Hippocampus Segmentation Technique[C]//International Symposium on Computer-based Medical Systems.Bristol, 2011:1-6.
[12]AN Xuandong,YU Xiaoqing,ZHANG Yifan.Research on the Self-similarity of Point Cloud Outline for Accurate Compression[C]//International Conference on Smart and Sustainable City and Big Data.Shanghai,2016:1-5.
[13]PAN Lina.Study on Emitter Signal Recognition Based on Backward Cloud Model and Attribute Similarity[C]//International Conference on Microwave Radar and Wireless Communications.Warsaw,2012:546-550.
[14]徐选华,王佩,蔡晨光.基于云相似度的语言偏好信息多属性大群体决策方法[J].控制与决策,2017,32(3):459-466.
XU Xuanhua,WANG Pei,CAI Chenguang.Multi-attribute Large Group Decision Making Method Based on Cloud Similarity for Language Preference Information[J].Control and
Decision,2017,32(3):459-466.
[15]张光卫,李德毅,李鹏,等.基于云模型的协同过滤推荐算法[J].软件学报,2007,18(10):2403-2411.
ZHANG Guangwei,LI Deyi,LI Peng,et al.Collaborative Filtering Recommendation Algorithm Based on Cloud Model[J].Software Journal,2007,18(10):2403-2411.
[16]YUAN Ye, LUO Xin,SHANG Mingsheng, et al.Effect of Linear Biases in Latent Factor Models on High-dimensional and Sparse Matrices from Recommender System[J].IEEE 14th International Conference on Networking,Sensing and Control.Calabria ,2017:488-494.