| Citation: |
Personalized Recommendation Model Based on Dynamic Time[J]. Journal of South China Normal University (Natural Science Edition), 2017, 49(3): 123-128.
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[1]Li Chen, Personality in Recommender Systems[C]//Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015, p.2-2, September 16-20, 2015, Vienna, Austria
[2]Maria Augusta S.N. Nunes, Rong Hu, Personality-based recommender systems: an overview[C]//Proceedings of the sixth ACM conference on Recommender systems, September 09-13, 2012, Dublin, Ireland. [3]Nirmal Jonnalagedda, Susan Gauch, Personalized News Recommendation Using Twitter[C]//Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), p.21-25, November 17-20, 2013. [4]Ralf Krestel.Recommendation on the social web: diversification and personalization[J].Proceedings of the 2011 international workshop on DETecting and Exploiting Cultural diversiTy on the social web, 2011, 10(1):24-24 [5]Yuan Guan.Preference of online users and personalized recommendations[J].Physica A: Statistical Mechanics and its Applications, 2013, 392(16):3417-3423 [6]Mojtaba Salehi.Hybrid recommendation approach for learning material based on sequential pattern of the accessed material and the learner’s preference tree[J].Knowledge-Based Systems, 2013, 48(1):57-69 [7]Yongfeng Zhang.Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis[C]//Proceedings of the 24th International Conference on World Wide Web, 2015, 1373-1383. [8] NAYAK R.A social matching system for an online dating network: a preliminary study[C]//Proceedings 2010 10th IEEE International Conference on Data Mining Workshops (ICDMW 2010). 2010.352-357. [9] WANG T T.Predicting New User’s Behavior in Online Dating Systems[M]. Advanced Data Mining and Applications.Springer Berlin Heidelberg, 2011.266-277. [10]于洪, 李俊华.一种解决新项目冷启动问题的推荐算法[J].软件学报, 2015, 26(6):1395-1408 [11]Koren Y.Collaborative filtering with temporal dynamics[J].Communications of the ACM, 2010, 53(4):89-97 [12]Florent Garcin.Personalized News Recommendation Based on Collaborative Filtering[C]//Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology, p.437-441, December 04-07, 2012. [13] 丁浩, 戴牡红.基于用户评分和遗传算法的协同过滤推荐算法[J].计算机工程与应用, 2015,51 (17): 0-1 [14]Fidel Cacheda.Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems[C]// ACM Transactions on the Web (TWEB), 2011, 1-33 [15]Cataldo Musto.Enhanced vector space models for content-based recommender systems[C]//In Proceedings of the fourth ACM conference on Recommender systems, Rec Sys ‘10, pages 361-364, New York, NY, USA, 2010.ACM. [16]L Averell and A Heathcote.The form of the forgetting curve and the fate of memories[J].Journal of Mathematical Psychology, 2011, 55(1):25-35
[1]Li Chen, Personality in Recommender Systems[C]//Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015, p.2-2, September 16-20, 2015, Vienna, Austria
[2]Maria Augusta S.N. Nunes, Rong Hu, Personality-based recommender systems: an overview[C]//Proceedings of the sixth ACM conference on Recommender systems, September 09-13, 2012, Dublin, Ireland. [3]Nirmal Jonnalagedda, Susan Gauch, Personalized News Recommendation Using Twitter[C]//Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), p.21-25, November 17-20, 2013. [4]Ralf Krestel.Recommendation on the social web: diversification and personalization[J].Proceedings of the 2011 international workshop on DETecting and Exploiting Cultural diversiTy on the social web, 2011, 10(1):24-24 [5]Yuan Guan.Preference of online users and personalized recommendations[J].Physica A: Statistical Mechanics and its Applications, 2013, 392(16):3417-3423 [6]Mojtaba Salehi.Hybrid recommendation approach for learning material based on sequential pattern of the accessed material and the learner’s preference tree[J].Knowledge-Based Systems, 2013, 48(1):57-69 [7]Yongfeng Zhang.Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis[C]//Proceedings of the 24th International Conference on World Wide Web, 2015, 1373-1383. [8] NAYAK R.A social matching system for an online dating network: a preliminary study[C]//Proceedings 2010 10th IEEE International Conference on Data Mining Workshops (ICDMW 2010). 2010.352-357. [9] WANG T T.Predicting New User’s Behavior in Online Dating Systems[M]. Advanced Data Mining and Applications.Springer Berlin Heidelberg, 2011.266-277. [10]于洪, 李俊华.一种解决新项目冷启动问题的推荐算法[J].软件学报, 2015, 26(6):1395-1408 [11]Koren Y.Collaborative filtering with temporal dynamics[J].Communications of the ACM, 2010, 53(4):89-97 [12]Florent Garcin.Personalized News Recommendation Based on Collaborative Filtering[C]//Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology, p.437-441, December 04-07, 2012. [13] 丁浩, 戴牡红.基于用户评分和遗传算法的协同过滤推荐算法[J].计算机工程与应用, 2015,51 (17): 0-1 [14]Fidel Cacheda.Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems[C]// ACM Transactions on the Web (TWEB), 2011, 1-33 [15]Cataldo Musto.Enhanced vector space models for content-based recommender systems[C]//In Proceedings of the fourth ACM conference on Recommender systems, Rec Sys ‘10, pages 361-364, New York, NY, USA, 2010.ACM. [16]L Averell and A Heathcote.The form of the forgetting curve and the fate of memories[J].Journal of Mathematical Psychology, 2011, 55(1):25-35 |
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