英文学术期刊类模板

英文学术期刊类

[1]Majid, A., Chen, L., Chen, G., Mirza, H. T., Hussain, I.,... Woodward, J. (2013). A context-aware personalized travel recommendation system based on geotagged social media data mining. International Journal of Geographical Information Science, 27(4), 662-684

[2]Wen, H., Fang, L., & Guan, L. (2012). A hybrid approach for personalized recommendation of news on the Web. Expert Systems with Applications, 39(5), 5806-5814

[3]Kardan, A. A., Speily, O. R. B., & Modaberi, S. (2011). A Novel Approach for Enhancing Lifelong Learning Systems by Using Hybrid Recommender System. Online Submission

[4]Kardan, A. A., Speily, O. R. B., & Modaberi, S. (2011). A Novel Approach for Enhancing Lifelong Learning Systems by Using Hybrid Recommender System. Online Submission

[5]Lu, C., & Tseng, V. S. (2009). A novel method for personalized music recommendation. Expert Systems with Applications, 36(6), 10035-10044

[6]Hsu, C., Hwang, G., & Chang, C. (2013). A Personalized Recommendation-Based Mobile Learning Approach to Improving the Reading Performance of EFL Students. Computers & Education, 63, 327-336

[7]Lee, S., Choi, K., & Suh, Y. (2013). A personalized trustworthy seller recommendation in an open market. Expert Systems with Applications, 40(4), 1352-1357

[8]Tejeda-Lorente, Á., Porcel, C., Peis, E., Sanz, R., & Herrera-Viedma, E. (2014). A quality based recommender system to disseminate information in a university digital library. Information Sciences, 261, 52-69 [9]Tejeda-Lorente, Á., Porcel, C., Peis, E., Sanz, R., & Herrera-Viedma, E. (2014). A quality based recommender system to disseminate information in a university digital library. Information Sciences, 261, 52-69 [10]Lu, J., Shambour, Q., Xu, Y., Lin, Q., & Zhang, G. (2013). A web-based personalized business partner recommendation system using fuzzy semantic techniques. Computational Intelligence, 29(1), 37-69

[11]Chen, D., Hu, P. J., Kuo, Y., & Liang, T. (2010). A Web-based personalized recommendation system for mobile phone selection: Design, implementation, and evaluation. Expert Systems with Applications, 37(12), 8201-8210

[12]Graf, K. S., Qingsheng, Z., Maguire, P., & Shtern, V. (2010). An architecture for dynamic student modelling of learning styles in learning systems and its application for adaptivity. Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age, 103-110

[13]Graf, K. S., Qingsheng, Z., Maguire, P., & Shtern, V. (2010). An architecture for dynamic student modelling of learning styles in learning systems and its application for adaptivity. Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age, 103-110

[14]Wang, S., & Wu, C. (2011). Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system. Expert Systems with Applications, 38(9), 10831-10838

[15]Salehi, M. (2013). Application of implicit and explicit attribute based collaborative filtering and BIDE for learning resource recommendation. Data & Knowledge Engineering, 87, 130-145

[16]Jiashu, Z., Jimmy, X. H., & Xiaohua, H. (2013). BPLT+: A Bayesian-based personalized recommendation model for health care. BMC Genomics, 14(Suppl 4), 1-10

[17]Guo, Q., & Liu, J. (2010). Clustering effect of user-object bipartite network on personalized recommendation. International Journal of Modern Physics C: Computational Physics & Physical Computation, 21(7), 891-901 [18]Zhang, J., Peng, Q., Sun, S., & Liu, C. (2014). Collaborative filtering recommendation algorithm based on user preference derived from item domain features. Physica A, 396, 66-76

[19]Zhang, W. Y., Zhang, S., Chen, Y. G., & Pan, X. W. (2013). Combining social network and collaborative filtering for personalized manufacturing service recommendation. International Journal of Production Research, 51(22), 6702-6719