Literatura académica sobre el tema "Recommender System (RS)"
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Artículos de revistas sobre el tema "Recommender System (RS)"
Walia, Prof Ranjanroop. "Online Recommender System". International Journal for Research in Applied Science and Engineering Technology 9, n.º VII (30 de julio de 2021): 2569–77. http://dx.doi.org/10.22214/ijraset.2021.36424.
Texto completoLahlou, Fatima Zahra, Houda Benbrahim y Ismail Kassou. "Review Aware Recommender System". International Journal of Distributed Artificial Intelligence 10, n.º 2 (julio de 2018): 28–50. http://dx.doi.org/10.4018/ijdai.2018070102.
Texto completoKumar Sahni, Dheeraj. "Recommender System (RS): Challenges, Issues & Extensions". Mapana Journal of Sciences 21, n.º 1 (1 de enero de 2022): 73–92. http://dx.doi.org/10.12723/mjs.60.6.
Texto completoKang, Li Ting y Yong Wang. "Seven Factors in Evaluating Recommender System". Applied Mechanics and Materials 472 (enero de 2014): 443–49. http://dx.doi.org/10.4028/www.scientific.net/amm.472.443.
Texto completoBajenaru, Victor, Steven Lavoie, Brett Benyo, Christopher Riker, Mitchell Colby y James Vaccaro. "Recommender System Metaheuristic for Optimizing Decision-Making Computation". Electronics 12, n.º 12 (14 de junio de 2023): 2661. http://dx.doi.org/10.3390/electronics12122661.
Texto completoVaidhehi, V. y R. Suchithra. "A Systematic Review of Recommender Systems in Education". International Journal of Engineering & Technology 7, n.º 3.4 (25 de junio de 2018): 188. http://dx.doi.org/10.14419/ijet.v7i3.4.16771.
Texto completoUsman, Abdulgafar, Abubakar Roko, Aminu B. Muhammad y Abba Almu. "Enhancing Personalized Book Recommender System". International Journal of Advanced Networking and Applications 14, n.º 03 (2022): 5486–92. http://dx.doi.org/10.35444/ijana.2022.14311.
Texto completoBatra, Priya, Anukriti Singh y T. S. Mahesh. "Efficient Characterization of Quantum Evolutions via a Recommender System". Quantum 5 (6 de diciembre de 2021): 598. http://dx.doi.org/10.22331/q-2021-12-06-598.
Texto completoYadav, Dharminder, Himani Maheshwari y Umesh Chandra. "An Approach Towards Hotel Recommender System". Journal of Computational and Theoretical Nanoscience 17, n.º 6 (1 de junio de 2020): 2605–12. http://dx.doi.org/10.1166/jctn.2020.8936.
Texto completoNugroho, Arseto Satriyo, Igi Ardiyanto y Teguh Bharata Adji. "User Curiosity Factor in Determining Serendipity of Recommender System". IJITEE (International Journal of Information Technology and Electrical Engineering) 5, n.º 3 (30 de septiembre de 2021): 75. http://dx.doi.org/10.22146/ijitee.67553.
Texto completoTesis sobre el tema "Recommender System (RS)"
Sima, Xingyu. "La gestion des connaissances dans les petites et moyennes entreprises : un cadre adapté et complet". Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP047.
Texto completoKnowledge is vital for organizations, particularly in today’s Industry 4.0 context. Knowledge Management (KM) plays a critical role in an organization's success. Although KM has been relatively well-studied in large organizations, Small and Medium-sized Enterprises (SMEs) receive less attention. SMEs face unique challenges in KM, requiring a tailored KM framework. Our study aims to define a framework addressing their challenges while leveraging their inherent strengths. This thesis presents a dedicated and comprehensive SME KM framework, offering dedicated solutions from knowledge acquisition and representation to exploitation: (1) a dedicated knowledge acquisition process based on the Scrum framework, an agile methodology, (2) a dedicated knowledge representation model based on semi-structured KG, and (3) a dedicated knowledge exploitation process based on knowledge-relatedness RS. This research was conducted in collaboration with Axsens-bte, an SME specializing in consultancy and training. The partnership with Axsens-bte has provided invaluable insights and practical experiences, contributing to developing the proposed KM framework and highlighting its relevance and applicability in real-world SME contexts
Capítulos de libros sobre el tema "Recommender System (RS)"
Zeng, Wanling, Yang Du, Dingqian Zhang, Zhili Ye y Zhumei Dou. "TUP-RS: Temporal User Profile Based Recommender System". En Artificial Intelligence and Soft Computing, 463–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91262-2_42.
Texto completoMagrani, Eduardo y Paula Guedes Fernandes da Silva. "The Ethical and Legal Challenges of Recommender Systems Driven by Artificial Intelligence". En Multidisciplinary Perspectives on Artificial Intelligence and the Law, 141–68. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-41264-6_8.
Texto completoDhabliya, Dharmesh, Kshipra Jain, Manju Bargavi, Deepak, Anishkumar Dhablia, Jambi Ratna Raja Kumar, Ankur Gupta y Sabyasachi Pramanik. "Item Selection Using K-Means and Cosine Similarity". En AI-Driven Marketing Research and Data Analytics, 228–44. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2165-2.ch013.
Texto completoVaraprasad Rao M y Vishnu Murthy G. "DSS for Web Mining Using Recommendation System". En Advances in Data Mining and Database Management, 22–34. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1877-8.ch003.
Texto completoShelke, P. M., Suruchi Dedgaonkar y R. N. Bhimanpallewar. "Powering User Interface Design of Tourism Recommendation System with AI and ML". En Artificial Intelligence, Machine Learning and User Interface Design, 108–35. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815179606124010008.
Texto completoKumar, Sumit, Dr Vishal Shrivastava y Dr Vibhakar Pathak. "A BRIEF OVERVIEW ON SENTIMENT ANALYSIS BASED RECOMMENDATION SYSTEM". En Futuristic Trends in Computing Technologies and Data Sciences Volume 3 Book 4, 83–94. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bict4p2ch1.
Texto completoSielis, George A., Aimilia Tzanavari y George A. Papadopoulos. "Recommender Systems Review of Types, Techniques, and Applications". En Encyclopedia of Information Science and Technology, Third Edition, 7260–70. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-5888-2.ch714.
Texto completoSoliman, Khaled, Mahmood A. Mahmood, Ahmed El Azab y Hesham Ahmed Hefny. "A Survey of Recommender Systems and Geographical Recommendation Techniques". En GIS Applications in the Tourism and Hospitality Industry, 249–74. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5088-4.ch011.
Texto completoKarthick, G. S. y M. Sridhar. "Intelligent Healthcare Recommender Systems for Advanced Healthcare Informatics". En Advances in Healthcare Information Systems and Administration, 1–24. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8913-0.ch001.
Texto completoRicci, Francesco, Quang Nhat Nguyen y Olga Averjanova. "Exploiting a Map-Based Interface in Conversational Recommender Systems for Mobile Travelers". En Tourism Informatics, 73–93. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-818-5.ch005.
Texto completoActas de conferencias sobre el tema "Recommender System (RS)"
Lu, Kezhi, Qian Zhang, Guangquan Zhang y Jie Lu. "BERT-RS: A neural personalized recommender system with BERT". En Conference on Machine learning, Multi Agent and Cyber Physical Systems (FLINS 2022). WORLD SCIENTIFIC, 2023. http://dx.doi.org/10.1142/9789811269264_0046.
Texto completoZheng, Yong, Markus Zanker, Li Chen y Panagiotis Symeonidis. "Session details: Theme: System software and security: RS - recommender systems track". En SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3535442.
Texto completoLaskoski, Felipe F. y Alfredo Goldman. "CienTec Guide: Application and Online Evaluation of a Context-Based Recommender System in Cultural Heritage". En Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação (SBC), 2022. http://dx.doi.org/10.5753/sbsi_estendido.2022.222608.
Texto completo"Session details: Theme: System software and security: RS - Recommender systems: Theory and applications track". En the 34th ACM/SIGAPP Symposium, editado por Markus Zanker, Li Chen, Panagiotis Symeonidis y Yong Zheng. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3297280.3329387.
Texto completo"Session details: Theme: System software and security: RS - Recommender systems: Theory and applications track". En SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing, editado por Markus Zanker, Li Chen, Panagiotis Symeonidis y Yong Zheng. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3329387.
Texto completoZheng, Yong, Li Chen, Markus Zanker y Panagiotis Symeonidis. "Session details: Theme: System software and security: RS - Recommender systems: Theory and applications track". En SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3462430.
Texto completoZanker, Markus, Panagiotis Symeonidis y Yong Zheng. "Session details: Theme: System software and security: RS - Recommender systems: Theory and applications track". En SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3389669.
Texto completo"Session details: System software and security: RS - recommender systems: theory, user interactions and applications track". En the 33rd Annual ACM Symposium, editado por Yong Zheng, Li Chen y Markus Zanker. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3167132.3258667.
Texto completo"Session details: System software and security: RS - recommender systems: theory, user interactions and applications track". En SAC 2018: Symposium on Applied Computing, editado por Yong Zheng, Li Chen y Markus Zanker. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3258667.
Texto completoSilva, Thiago, Adriano Pereira y Leonardo Rocha. "iRec: Um framework para modelos interativos em Sistemas de Recomendação". En Concurso de Teses e Dissertações. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/ctd.2023.229296.
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