Computer Science ›› 2016, Vol. 43 ›› Issue (12): 223-228.doi: 10.11896/j.issn.1002-137X.2016.12.041
Previous Articles Next Articles
GUO Jun-xia, XU Wen-sheng and LU Gang
| [1] Pazzani M J,Billsus D.Content-Based Recommendation Systems[M]∥The Adaptive Web.Springer Berlin Heidelberg,2007:325-341 [2] Sarwar B,Karypis G,Konstan J,et al.Item-based collaborative filtering recommendation algorithms[C]∥Proceedings of International Conference on World Wide Web.2001:285-295 [3] Schein A I,Popescul A,Ungar L H,et al.Methods and metrics for cold-start recommendations[C]∥Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.ACM,2002:253-260 [4] Lam X N,Vu T,Le T D,et al.Addressing cold-start problem in recommendation systems[C]∥Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication.ACM,2008:208-211 [5] Song Y.Personalized Search Engine Based on the User Behavior Analysis[J].New Century Library,2013 [6] Ye Y.Research on Interest Model of User Behavior[D].Shanghai:East China University,2012(in Chinese) 叶彧.基于用户行为的兴趣模型的研究[D].上海:东华大学,2012 [7] Sun X H.Research on sparsity and cold start of collaborative filtering system[D].Hangzhou:Zhejiang University,2005(in Chinese) 孙小华.协同过滤系统的稀疏性与冷启动问题研究[D].杭州:浙江大学,2005 [8] Huang G Q,Zhao Y M.Approach to collaborative filtering re-commendation based on HMM[J].Journal of Computer Applications,2008,28(6):1601-1604(in Chinese) 黄光球,赵永梅.基于HMM模型的协同过滤推荐方法[J].计算机应用,2008,28(6):1601-1604 [9] Juan B.Collaborative filtering recommendation algorithm based on semantic similarity of item[C]∥IEEE Fifth International Conference on Advanced Computational Intelligence.2012:452-454 [10] Fan M,Zhou Q,Zheng T F.Content-Based Semantic Tag Ran-king for Recommendation[C]∥2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.IEEE Computer Society,2012:292-296 [11] Yao L,Sheng Q Z,Segev A,et al.Recommending Web Services via Combining Collaborative Filtering with Content-Based Features[C]∥2013 IEEE 20th International Conference on Web Services.IEEE,2013:42-49 [12] Popescul A,Ungar L H,Pennock D M,et al.Probabilistic Mo-dels for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments[C]∥ Proceedings of the 17th Conference on Univertointy in Artificial Intelligence.2013:437-444 [13] Chu W,Park S T.Personalized recommendation on dynamic content using predictive bilinear models[C]∥Proceedings of the 18th International Conference on World Wide Web.ACM,2009:691-700 [14] Wu T,He H,Gu X,et al.An intelligent network user behavior analysis system based on collaborative Markov model and distributed data processing[C]∥2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD).IEEE,2013:221-228 [15] Gong M,Xu Z,Xu L,et al.Recommending Web Service Based on User Relationships and Preferences[C]∥IEEE International Conference on Web Services.2013:380-386 [16] Sobhanam H,Mariappan A K.Addressing cold start problem in recommender systems using association rules and clustering technique[C]∥International Conference on Computer Communication & Informatics.IEEE,2013:1-5 [17] Zhang D,Hsu C,Chen M,et al.Cold-Start Recommendation Using Bi-Clustering and Fusion for Large-Scale Social Recommender Systems[J].IEEE Transactions on Emerging Topics in Computing,2014,2(2):239-250 [18] Park S T,Pennock D,Madani O,et al.Na07ve filterbots for robust cold-start recommendations[C]∥Proc of Acm Sigkdd Int’l Conf.2006:699-705 [19] Che G Y,Zhang L,Zhang L X.User Browsing Behavior Extraction and Analysis Based on Sequence Pattern[J].Computer Technology & Development,2012,22(9):9-12(in Chinese) 车高营,张磊,张禄旭.基于序列模式的用户浏览行为提取与分析[J].计算机技术与发展,2012,22(9):9-12 [20] Yap G E,Li X L,Yu P S.Effective next-items recommendation via personalized sequential pattern mining[C]∥Proceedings of the 17th International Conference on Database Systems for Advanced Applications-Volume Part II.Springer-Verlag,2012:48-64 [21] Li Y,Niu Z,Chen W,et al.Combining collaborative filtering and sequential pattern mining for recommendation in e-learning environment[C]∥International Conference on Advances in Web-based Learning.Springer-Verlag,2011:305-313 [22] Choi K,Yoo D,Kim G,et al.A hybrid online-product recom-mendation system:Combining implicit rating-based collaborative filtering and sequential pattern analysis[J].Electronic Commerce Research & Applications,2012,11(4):309-317 [23] Chen W,Niu Z,Zhao X,et al.A hybrid recommendation algorithm adapted in e-learning environments[J].World Wide Web-internet & Web Information Systems,2014,17(2):1-14 [24] Zhou Y N,Zheng H S.Ant Collaborative Filtering Based on Options of Browsing Path:Used for M-commerce Personalized Re-commendation System[C]∥Systems Engineering Society of China.2012(in Chinese) 周玉妮,郑会颂.基于浏览路径选择的蚁群推荐算法:用于移动商务个性化推荐系统[C]∥中国系统工程学会学术年会.2012 [25] Khan S,Baig A R,Shahzad W.A novel ant colony optimization based single path hierarchical classification algorithm for predicting gene ontology[J].Applied Soft Computing,2014,16(3):34-49 [26] Mohanthy R,Naik V,Mubeen A.Software Reliability Prediction by Using Ant Colony Optimization Technique[C]∥Fourth International Conference on Communication Systems & Network Technologies.IEEE Computer Society,2014:496-500 [27] Singh L K,Vinod G,Tripathi A K.Approach for parameter estimation in Markov model of software reliability for early prediction:A case study[J].Iet Software,2015,9(3):65-75 [28] Sampathkumar H,Chen X W,Luo B.Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model[J].Bmc Medical Informatics & Decision Making,2014,14(1):1-18 [29] Li M H,Li J Z,Cheng S Y.Uncertain rule based method for evaluating data currency[J].Journal of Software,2014,25(Suppl.(2)):147-156(in Chinese) 李默涵,李建中,程思瑶.一种基于不确定规则的数据时效性判定方法[J].软件学报,2014,25(Suppl.(2)):147-156 [30] Yang C,Wu A R.Method of evaluation data freshness based on reduction-factor[J].Computer Engineering and Design,2010,31(3):684-686(in Chinese) 杨超,吴爱荣.基于衰减因子的评价数据时效性处理方法[J].计算机工程与设计,2010,31(3):684-686 |
| No related articles found! |
|
||
Home