Literatura académica sobre el tema "OPTIMIZED RECOMMENDER SYSTEM"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "OPTIMIZED RECOMMENDER SYSTEM".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "OPTIMIZED RECOMMENDER SYSTEM"
Sumariya, Shrey, Shreyas Rami, Shubham Revadekar, Vidhan Shah y Sudhir Bagul. "Hospital Recommender System". BOHR International Journal of Engineering 2, n.º 1 (2023): 1–6. http://dx.doi.org/10.54646/bije.011.
Texto completoSumariya, Shrey, Shreyas Rami Rami, Shubham Revadekar, Vidhan Shah y Sudhir Bagul. "Hospital Recommender System". BOHR International Journal of Internet of things, Artificial Intelligence and Machine Learning 1, n.º 1 (2022): 99–103. http://dx.doi.org/10.54646/bijiam.016.
Texto completoYuan, Weiwei y Donghai Guan. "OPTIMIZED TRUST-AWARE RECOMMENDER SYSTEM USING GENETIC ALGORITHM". Neural Network World 27, n.º 1 (2017): 77–94. http://dx.doi.org/10.14311/nnw.2017.27.004.
Texto completoVerma, Sandhya y Amit Kumar Manjhvar. "Optimized Ranking Based Recommender System for Various Application Based Fields". International Journal of Database Theory and Application 9, n.º 1 (28 de febrero de 2016): 137–44. http://dx.doi.org/10.14257/ijdta.2016.9.2.15.
Texto completoLi, Jian Yang, Xiao Ping Liu y Rui Li. "Optimized RBF for CBR-Recommendation System". Applied Mechanics and Materials 214 (noviembre de 2012): 568–72. http://dx.doi.org/10.4028/www.scientific.net/amm.214.568.
Texto completoLoukili, Manal, Fayçal Messaoudi y Mohammed El Ghazi. "Machine learning based recommender system for e-commerce". IAES International Journal of Artificial Intelligence (IJ-AI) 12, n.º 4 (1 de diciembre de 2023): 1803. http://dx.doi.org/10.11591/ijai.v12.i4.pp1803-1811.
Texto completoHerce-Zelaya, Julio, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno y Enrique Herrera-Viedma. "Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems". Information 14, n.º 1 (29 de diciembre de 2022): 19. http://dx.doi.org/10.3390/info14010019.
Texto completoBahrami, N., M. Argany, N. N. Samani y A. R. Vafaeinejad. "DESIGNING A CONTEXT-AWARE RECOMMENDER SYSTEM IN THE OPTIMIZATION OF THE RELIEF AND RESCUE". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (18 de octubre de 2019): 171–77. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-171-2019.
Texto completoGupta, Shalini y Veer Sain Dixit. "A Meta-Heuristic Algorithm Approximating Optimized Recommendations for E-Commerce Business Promotions". International Journal of Information Technology Project Management 11, n.º 2 (abril de 2020): 23–49. http://dx.doi.org/10.4018/ijitpm.2020040103.
Texto completoMuruganandam, Kishore y Shaphan Manipaul S. "A Real Time Tourism Recommender System using KNN and RBM Approach". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 357–62. http://dx.doi.org/10.22214/ijraset.2023.51527.
Texto completoCapítulos de libros sobre el tema "OPTIMIZED RECOMMENDER SYSTEM"
Sandesara, Mudita, Prithvi Sharan, Deepti Saraswat y Rupal A. Kapdi. "An Optimized Search-Enabled Hotel Recommender System". En Lecture Notes in Electrical Engineering, 487–501. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9876-8_37.
Texto completoBehera, Gopal y Neeta Nain. "Collaborative Recommender System (CRS) Using Optimized SGD - ALS". En Communications in Computer and Information Science, 627–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81462-5_55.
Texto completoKumar, Akshi, Nitin Sachdeva y Archit Garg. "Analysis of GA Optimized ANN for Proactive Context Aware Recommender System". En Hybrid Intelligent Systems, 92–102. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76351-4_10.
Texto completoKadıoğlu, Serdar, Bernard Kleynhans y Xin Wang. "Optimized Item Selection to Boost Exploration for Recommender Systems". En Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 427–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78230-6_27.
Texto completoBansal, Saumya y Niyati Baliyan. "Detecting Group Shilling Profiles in Recommender Systems: A Hybrid Clustering and Grey Wolf Optimizer Technique". En Design and Applications of Nature Inspired Optimization, 133–61. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17929-7_7.
Texto completoAvram, Anca M. "Radioiodine Theranostics of Differentiated Thyroid Carcinoma". En Integrated Diagnostics and Theranostics of Thyroid Diseases, 111–27. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35213-3_7.
Texto completoGarosi, Ehsan. "Nurses Work System Optimization: Macroergonomics Perspective". En New Research in Nursing - Education and Practice [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.110400.
Texto completoChawla, Suruchi. "Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web Search". En Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, 656–75. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch034.
Texto completoKhalid, Saifullah. "Application of Adaptive Tabu Search Algorithm in Hybrid Power Filter and Shunt Active Power Filters". En Sustaining Power Resources through Energy Optimization and Engineering, 276–308. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9755-3.ch012.
Texto completoTalbot, Patricia A. y Jennifer Jones. "Engaging Heads, Hands, and Hearts to Optimize Study Abroad Outcomes". En Teacher Education, 1438–56. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0164-0.ch070.
Texto completoActas de conferencias sobre el tema "OPTIMIZED RECOMMENDER SYSTEM"
Kloucha, Chakib K., Bassem S. El Yossef, Imad Al Hamlawi, Muzahidin M Salim, Wiliem Pausin, Anik Pal, Hussein Mustapha, Soumil Shah y Ahmad Naim Hussein. "Machine Learning Model for Drilling Equipment Recommender System for Improved Decision Making and Optimum Performance". En ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211731-ms.
Texto completoYap, Ghim-Eng, Ah-Hwee Tan y Hwee-Hwa Pang. "Dynamically-optimized context in recommender systems". En the 6th international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1071246.1071289.
Texto completoIizuka, Kojiro, Takeshi Yoneda y Yoshifumi Seki. "Greedy optimized multileaving for personalization". En RecSys '19: Thirteenth ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3298689.3347008.
Texto completoMallia Milanes, Mario y Matthew Montebello. "Crowdsourced Recommender System". En Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.8020.
Texto completoHammar, Mikael, Robin Karlsson y Bengt J. Nilsson. "Using maximum coverage to optimize recommendation systems in e-commerce". En RecSys '13: Seventh ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2507157.2507169.
Texto completoKhandelwal, Hitesh, Viet Ha-Thuc, Avishek Dutta, Yining Lu, Nan Du, Zhihao Li y Qi Hu. "Jointly Optimize Capacity, Latency and Engagement in Large-scale Recommendation Systems". En RecSys '21: Fifteenth ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460231.3474606.
Texto completoUr Rehman, Faizan, Ahmed Lbath, Bilal Sadiq, Md Abdur Rahman, Abdullah Murad, Imad Afyouni, Akhlaq Ahmad y Saleh Basalamah. "A constraint-aware optimized path recommender in a crowdsourced environment". En 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA). IEEE, 2015. http://dx.doi.org/10.1109/aiccsa.2015.7507185.
Texto completoZhang, Lei, Xuan Liu, Yidi Cao y Bin Wu. "O- Recommend: An Optimized User-Based Collaborative Filtering Recommendation System". En 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2018. http://dx.doi.org/10.1109/padsw.2018.8644910.
Texto completoZou, Lixin, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu y Dawei Yin. "Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems". En KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3292500.3330668.
Texto completoFerrari Dacrema, Maurizio, Paolo Cremonesi y Dietmar Jannach. "Methodological Issues in Recommender Systems Research (Extended Abstract)". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/650.
Texto completoInformes sobre el tema "OPTIMIZED RECOMMENDER SYSTEM"
Powell. L52196 Practical Guidelines for Conducting an External Corrosion Direct Assessment (ECDA) Program. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), enero de 2008. http://dx.doi.org/10.55274/r0011369.
Texto completoTorrijos, Ivan Dario Pinerez, Tina Puntervold, Skule Strand, Panagiotis Aslanidis, Ingebret Fjelde y Aleksandr Mamonov. Core restoration: A guide for improved wettability assessments. University of Stavanger, noviembre de 2021. http://dx.doi.org/10.31265/usps.198.
Texto completo