Evolutionary computing in recommender systems: a review of recent research
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[1] Feng Zhang,et al. A Collaborative Filtering Algorithm Employing Genetic Clustering to Ameliorate the Scalability Issue , 2006, 2006 IEEE International Conference on e-Business Engineering (ICEBE'06).
[2] S. Floyd,et al. Adaptive Web , 1997 .
[3] Anne N. De Roeck,et al. A review of evolutionary and immune-inspired information filtering , 2010, Natural Computing.
[4] Kenji Araki,et al. A SVM-based personal recommendation system for TV programs , 2006, 2006 12th International Multi-Media Modelling Conference.
[5] Tomoyuki Hiroyasu,et al. Automatic generation method to derive for the design variable spaces for interactive Genetic Algorithms , 2010, IEEE Congress on Evolutionary Computation.
[6] Maoguo Gong,et al. Personalized Recommendation Based on Evolutionary Multi-Objective Optimization [Research Frontier] , 2015, IEEE Computational Intelligence Magazine.
[7] Kamal Kant Bharadwaj,et al. Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities , 2011, Expert Syst. Appl..
[8] Gao Linqi,et al. Hybrid Personalized Recommended Model Based on Genetic Algorithm , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.
[9] Li Chen,et al. A user-centric evaluation framework for recommender systems , 2011, RecSys '11.
[10] Thorsten Joachims,et al. Training linear SVMs in linear time , 2006, KDD '06.
[11] Michael J. Pazzani,et al. Content-Based Recommendation Systems , 2007, The Adaptive Web.
[12] Umeshwar Dayal,et al. PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth , 2001, ICDE 2001.
[13] Karthik Srinivasa Gopalan,et al. A Context Aware Personalized Media Recommendation System: An Adaptive Evolutionary Algorithm Approach , 2011, 2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications.
[14] Bracha Shapira,et al. Recommender Systems Handbook , 2015, Springer US.
[15] Mi Zhang,et al. Avoiding monotony: improving the diversity of recommendation lists , 2008, RecSys '08.
[16] Kamal Kant Bharadwaj,et al. A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity , 2012, Social Network Analysis and Mining.
[17] Jaana Kekäläinen,et al. IR evaluation methods for retrieving highly relevant documents , 2000, SIGIR Forum.
[18] José M. Molina López,et al. Learning User Profile with Genetic Algorithm in AmI Applications , 2008, HAIS.
[19] Jing Xiao,et al. An Item Based Collaborative Filtering System Combined with Genetic Algorithms Using Rating Behavior , 2015, ICIC.
[20] Peter J. Bentley,et al. Learning User Preferences using Evolution. , 2004 .
[21] Tomás Horváth,et al. A Model of User Preference Learning for Content-Based Recommender Systems , 2012, Comput. Informatics.
[22] Masataka Goto,et al. An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[23] Li Guo,et al. Event Recommendation in Event-Based Social Networks , 2014, AAAI.
[24] Alexander J. Smola,et al. Maximum Margin Matrix Factorization for Collaborative Ranking , 2007 .
[25] Thomas Hofmann,et al. Latent semantic models for collaborative filtering , 2004, TOIS.
[26] Joos Vandewalle,et al. A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..
[27] Zhenhua Wang,et al. An improved collaborative movie recommendation system using computational intelligence , 2014, J. Vis. Lang. Comput..
[28] He Dian,et al. E-commerce Recommendation Method Based on Genetic Algorithm and Composite Weight Matrix , 2010, 2010 International Conference on Electrical and Control Engineering.
[29] Parham Moradi,et al. Evolutionary based matrix factorization method for collaborative filtering systems , 2013, 2013 21st Iranian Conference on Electrical Engineering (ICEE).
[30] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[31] Hyun-Tae Kim,et al. An interactive evolutionary approach to designing novel recommender systems , 2012 .
[32] George Karypis,et al. SLIM: Sparse Linear Methods for Top-N Recommender Systems , 2011, 2011 IEEE 11th International Conference on Data Mining.
[33] Kamal Kant Bharadwaj,et al. Fuzzy-genetic approach to recommender systems based on a novel hybrid user model , 2008, Expert Syst. Appl..
[34] Helena Ramalhinho Dias Lourenço,et al. Iterated Local Search , 2001, Handbook of Metaheuristics.
[35] Sophie Ahrens,et al. Recommender Systems , 2012 .
[36] F Darvishi mirshekarlou,et al. Reviewing Cluster Based Collaborative Filtering Approaches , 2013 .
[37] Hans-Paul Schwefel,et al. Evolutionary Programming and Evolution Strategies: Similarities and Differences , 1993 .
[38] Hideyuki Takagi,et al. Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation , 2001, Proc. IEEE.
[39] Angélica de Antonio Jiménez,et al. Learning User's Characteristics in Collaborative Filtering through Genetic Algorithms: Some New Results , 2013, WCSC.
[40] Samee Ullah Khan,et al. A survey on context-aware recommender systems based on computational intelligence techniques , 2015, Computing.
[41] Gediminas Adomavicius,et al. Context-aware recommender systems , 2008, RecSys '08.
[42] Kyoung-jae Kim,et al. A recommender system using GA K-means clustering in an online shopping market , 2008, Expert Syst. Appl..
[43] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[44] Junjie Yao,et al. Challenging the Long Tail Recommendation , 2012, Proc. VLDB Endow..
[45] Yi-Cheng Zhang,et al. Bipartite network projection and personal recommendation. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[46] Kyoung-jae Kim,et al. Using a Clustering Genetic Algorithm to Support Customer Segmentation for Personalized Recommender Systems , 2004, AIS.
[47] Hyun-Tae Kim,et al. A recommender system based on interactive evolutionary computation with data grouping , 2011, WCIT.
[48] Riccardo Poli,et al. Analysis of the publications on the applications of particle swarm optimisation , 2008 .
[49] A. Sima Etaner-Uyar,et al. Graph-based sequence clustering through multiobjective evolutionary algorithms for web recommender systems , 2007, GECCO '07.
[50] Lars Schmidt-Thieme,et al. BPR: Bayesian Personalized Ranking from Implicit Feedback , 2009, UAI.
[51] A. Sima Etaner-Uyar,et al. Multiobjective evolutionary clustering of Web user sessions: a case study in Web page recommendation , 2010, Soft Comput..
[52] Maoguo Gong,et al. NNIA-RS: A multi-objective optimization based recommender system , 2015 .
[53] Srujana Merugu,et al. A scalable collaborative filtering framework based on co-clustering , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[54] David A. McAllester,et al. Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence , 2009, UAI 2009.
[55] Hema Banati,et al. A MULTI -PERSPECTIVE EVALUATION OF MA AND GA FOR COLLABORATIVE FILTERING RECOMMENDER SYSTEM , 2010 .
[56] Gareth Jones,et al. Genetic and Evolutionary Algorithms , 2002 .
[57] Hyunchul Ahn,et al. A novel recommendation model of location-based advertising: Context-Aware Collaborative Filtering using GA approach , 2012, Expert Syst. Appl..
[58] Arjen P. de Vries,et al. The Magic Barrier of Recommender Systems - No Magic, Just Ratings , 2014, UMAP.
[59] Nichael Lynn Cramer,et al. A Representation for the Adaptive Generation of Simple Sequential Programs , 1985, ICGA.
[60] Dietmar Jannach,et al. What recommenders recommend: an analysis of recommendation biases and possible countermeasures , 2015, User Modeling and User-Adapted Interaction.
[61] Qingfu Zhang,et al. Multiobjective evolutionary algorithms: A survey of the state of the art , 2011, Swarm Evol. Comput..
[62] Guandong Xu,et al. Personalized recommendation via cross-domain triadic factorization , 2013, WWW.
[63] Michael J. Pazzani,et al. Learning and Revising User Profiles: The Identification of Interesting Web Sites , 1997, Machine Learning.
[64] Jonathan L. Herlocker,et al. Evaluating collaborative filtering recommender systems , 2004, TOIS.
[65] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[66] Hyun-Tae Kim,et al. A New Evolutionary Approach to Recommender Systems , 2014, IEICE Trans. Inf. Syst..
[67] Qiming Chen,et al. PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth , 2001, Proceedings 17th International Conference on Data Engineering.
[68] Nadia Magnenat-Thalmann,et al. Time-aware point-of-interest recommendation , 2013, SIGIR.
[69] Nicolas Tsapatsoulis,et al. Improving the Scalability of Recommender Systems by Clustering Using Genetic Algorithms , 2010, ICANN.
[70] Mojtaba Salehi,et al. Hybrid attribute-based recommender system for learning material using genetic algorithm and a multidimensional information model , 2013 .
[71] Mitsuo Nagamachi,et al. Kansei Engineering: A new ergonomic consumer-oriented technology for product development , 1995 .
[72] Kamal Kant Bharadwaj,et al. Group Recommender System Based on Rank Aggregation - An Evolutionary Approach , 2013, MIKE.
[73] Maik Thiele,et al. Setting Goals and Choosing Metrics for Recommender System Evaluations , 2011 .
[74] John Riedl,et al. Incremental SVD-Based Algorithms for Highly Scaleable Recommender Systems , 2002 .
[75] Jussara M. Almeida,et al. Associative tag recommendation exploiting multiple textual features , 2011, SIGIR.
[76] Ponnuthurai N. Suganthan,et al. Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art , 2011, Swarm Evol. Comput..
[77] Thomas Bäck,et al. Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms , 1996 .
[78] E. Baburaj,et al. Constraint Informative Rules for Genetic Algorithm-based Web Page Recommendation System , 2013, J. Comput. Sci..
[79] Kamal Kant Bharadwaj,et al. Trust-Enhanced Recommendation of Friends in Web Based Social Networks Using Genetic Algorithms to Learn User Preferences , 2011, CSE 2011.
[80] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.
[81] Rodrygo L. T. Santos,et al. Topic diversity in tag recommendation , 2013, RecSys.
[82] Leandro Nunes de Castro,et al. Fundamentals of Natural Computing - Basic Concepts, Algorithms, and Applications , 2006, Chapman and Hall / CRC computer and information science series.
[83] Nuria Oliver,et al. I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems , 2009, UMAP.
[84] Harpreet Kaur Virk,et al. A Hybrid Genre-based Recommender System for Movies using Genetic Algorithm and kNN Approach , 2015 .
[85] Sushil J. Louis,et al. Friend recommendations in social networks using genetic algorithms and network topology , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[86] Mao Ye,et al. Exploiting geographical influence for collaborative point-of-interest recommendation , 2011, SIGIR.
[87] A Study on Clustering Techniques in Recommender Systems , .
[89] Amine M. Boumaza,et al. From neighbors to global neighbors in collaborative filtering: an evolutionary optimization approach , 2012, GECCO '12.
[90] Ning Xu,et al. Genetic Algorithm and Graph Theory Based Matrix Factorization Method for Online Friend Recommendation , 2014, TheScientificWorldJournal.
[91] Lars Schmidt-Thieme,et al. Fast context-aware recommendations with factorization machines , 2011, SIGIR.
[92] Kay Chen Tan,et al. A Multi-Facet Survey on Memetic Computation , 2011, IEEE Transactions on Evolutionary Computation.
[93] Zhang Hao. Mixed Recommendation Algorithm Based on Commodity Gene and Genetic Algorithm , 2013 .
[94] Lars Schmidt-Thieme,et al. Pairwise interaction tensor factorization for personalized tag recommendation , 2010, WSDM '10.
[95] Vibhor Kant,et al. A User-Oriented Content Based Recommender System Based on Reclusive Methods and Interactive Genetic Algorithm , 2012, BIC-TA.
[96] Stuart E. Middleton,et al. Ontological user profiling in recommender systems , 2004, TOIS.
[97] Hyun-Tae Kim,et al. A recommender system based on genetic algorithm for music data , 2010, 2010 2nd International Conference on Computer Engineering and Technology.
[98] Simon Fong,et al. A Hybrid GA-based Collaborative Filtering Model for Online Recommenders , 2007, ICE-B.
[99] Jae Kyeong Kim,et al. A literature review and classification of recommender systems research , 2012, Expert Syst. Appl..
[100] Simon Fong,et al. Using Genetic Algorithm for Hybrid Modes of Collaborative Filtering in Online Recommenders , 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.
[101] Pasquale Lops,et al. A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation , 2007, User Modeling and User-Adapted Interaction.
[102] Fernando Ortega,et al. Improving collaborative filtering recommender system results and performance using genetic algorithms , 2011, Knowl. Based Syst..
[103] Asif Ullah Khan,et al. A Recommender System Based on Genetic Algorithm for Songs on Web , 2013 .
[104] William Nick Street,et al. Incremental collaborative filtering via evolutionary co-clustering , 2010, RecSys '10.
[105] J. Bobadilla,et al. Recommender systems survey , 2013, Knowl. Based Syst..
[106] Zhihua Cui,et al. Swarm Intelligence and Bio-Inspired Computation: Theory and Applications , 2013 .
[107] Ingo Rechenberg,et al. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .
[108] Ahmadi Mohammad Reza. A NEW RECOMMENDER SYSTEM BASED ON COOPERATIVE CO-EVOLUTION ALGORITHM , 2009 .
[109] Raphaël Troncy,et al. Hybrid event recommendation using linked data and user diversity , 2013, RecSys.
[110] Maoguo Gong,et al. Decomposition based multiobjective evolutionary algorithm for collaborative filtering recommender systems , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[111] Satish Ranbhise,et al. Application of Genetic Algorithm for Audio Search with Recommender System , 2018 .
[112] Zachary Blanks,et al. Ensemble Methods in Machine Learning: An Algorithmic Approach to Derive Distinctive Behaviors of Criminal Activity Applied to the Poaching Domain , 2017 .
[113] Deepa Anand,et al. Adaptive user similarity measures for recommender systems: A genetic programming approach , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[114] Alexander Tuzhilin,et al. Comparing context-aware recommender systems in terms of accuracy and diversity , 2012, User Modeling and User-Adapted Interaction.
[115] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[116] Adriano Veloso,et al. Pareto-efficient hybridization for multi-objective recommender systems , 2012, RecSys.
[117] G. Karypis,et al. Incremental Singular Value Decomposition Algorithms for Highly Scalable Recommender Systems , 2002 .
[118] Maumita Bhattacharya,et al. Evolutionary Approaches to Expensive Optimisation , 2013, ArXiv.
[119] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[120] T. Hiroyasu,et al. Interactive Recommender System to Estimate Personal User’s Kansei Model , 2013 .
[121] Anísio Lacerda,et al. GUARD: A Genetic Unified Approach for Recommendation , 2013, J. Inf. Data Manag..
[122] Shengxiang Yang,et al. Evolutionary dynamic optimization: A survey of the state of the art , 2012, Swarm Evol. Comput..
[123] Sansanee Auephanwiriyakul,et al. Applying memetic algorithm-based clustering to recommender system with high sparsity problem , 2014, Journal of Central South University.
[124] Federica Cena,et al. Hypertext 2014 Extended Proceedings: Late-breaking Results, Doctoral Consortium and Workshop Proceedings of the 25th ACM Hypertext and Social Media Conference (Hypertext 2014), Santiago, Chile, September 1-4, 2014 , 2014, HT.
[125] Tomás Horváth,et al. Opinion-Driven Matrix Factorization for Rating Prediction , 2013, UMAP.
[126] Thierson Couto,et al. An evolutionary approach for combining results of recommender systems techniques based on collaborative filtering , 2016, Expert Syst. Appl..
[127] Chein-Shung Hwang,et al. Using Genetic Algorithms for Personalized Recommendation , 2010, ICCCI.
[128] H. Abdi,et al. Principal component analysis , 2010 .
[129] Dietmar Jannach,et al. What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects , 2013, UMAP.
[130] Alexander Nikov,et al. Computational intelligence-based personalization of interactive web systems , 2010 .
[131] Roberto Turrin,et al. Performance of recommender algorithms on top-n recommendation tasks , 2010, RecSys '10.
[132] W. Vent,et al. Rechenberg, Ingo, Evolutionsstrategie — Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. 170 S. mit 36 Abb. Frommann‐Holzboog‐Verlag. Stuttgart 1973. Broschiert , 1975 .
[133] George Karypis,et al. Item-based top-N recommendation algorithms , 2004, TOIS.
[134] Lawrence J. Fogel,et al. Artificial Intelligence through Simulated Evolution , 1966 .
[135] Yicong Liang. Incorporating Interest Preference and Social Proximity into Collaborative Filtering for Folk Recommendation , 2011 .
[136] Arvind Kumar,et al. Customer Perception Assessment Technique Kansei Engineering : A Review , 2012 .
[137] Bernd Ludwig,et al. Matrix factorization techniques for context aware recommendation , 2011, RecSys '11.
[138] Hema Banati,et al. Memetic Collaborative Filtering Based Recommender System , 2010, 2010 Second Vaagdevi International Conference on Information Technology for Real World Problems.
[139] Nuria Oliver,et al. Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering , 2010, RecSys '10.
[140] Ingoo Han,et al. Optimizing Collaborative Filtering Recommender Systems , 2005, AWIC.
[141] Anthony Kulis,et al. Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies , 2009, Scalable Comput. Pract. Exp..
[142] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..
[143] Saul Vargas,et al. Rank and relevance in novelty and diversity metrics for recommender systems , 2011, RecSys '11.
[144] M. Tamer Özsu,et al. A Web page prediction model based on click-stream tree representation of user behavior , 2003, KDD '03.
[145] Jussara M. Almeida,et al. Personalized and object-centered tag recommendation methods for Web 2.0 applications , 2014, Inf. Process. Manag..
[146] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[147] Pj Bentley,et al. Learning User Prefernces Using Evolution , 2002 .
[148] Leandro Balby Marinho,et al. Event Recommendation in Event-based Social Networks , 2014, HT.
[149] Patrick Seemann,et al. Matrix Factorization Techniques for Recommender Systems , 2014 .
[150] Robin D. Burke,et al. Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.
[151] Mojtaba Salehi,et al. Attribute-based collaborative filtering using genetic algorithm and weighted C-means algorithm , 2013, Int. J. Bus. Inf. Syst..
[152] P. A. Khodke,et al. Genetic Algorithm Based Similarity Transitivity in Collaborative Filtering , 2013 .
[153] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[154] Jaime Teevan,et al. Implicit feedback for inferring user preference: a bibliography , 2003, SIGF.
[155] Tie-Yan Liu,et al. A Theoretical Analysis of NDCG Type Ranking Measures , 2013, COLT.
[156] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[157] John Riedl,et al. An Algorithmic Framework for Performing Collaborative Filtering , 1999, SIGIR Forum.
[158] Maoguo Gong,et al. Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection , 2008, Evolutionary Computation.
[159] Amine M. Boumaza,et al. Stochastic search for global neighbors selection in collaborative filtering , 2012, SAC '12.
[160] Guy Shani,et al. Evaluating Recommender Systems , 2015, Recommender Systems Handbook.