Artigos de revistas sobre o tema "Recommender System (RS)"
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Walia, Prof Ranjanroop. "Online Recommender System". International Journal for Research in Applied Science and Engineering Technology 9, n.º VII (30 de julho de 2021): 2569–77. http://dx.doi.org/10.22214/ijraset.2021.36424.
Texto completo da fonteLahlou, Fatima Zahra, Houda Benbrahim e Ismail Kassou. "Review Aware Recommender System". International Journal of Distributed Artificial Intelligence 10, n.º 2 (julho de 2018): 28–50. http://dx.doi.org/10.4018/ijdai.2018070102.
Texto completo da fonteKumar Sahni, Dheeraj. "Recommender System (RS): Challenges, Issues & Extensions". Mapana Journal of Sciences 21, n.º 1 (1 de janeiro de 2022): 73–92. http://dx.doi.org/10.12723/mjs.60.6.
Texto completo da fonteKang, Li Ting, e Yong Wang. "Seven Factors in Evaluating Recommender System". Applied Mechanics and Materials 472 (janeiro de 2014): 443–49. http://dx.doi.org/10.4028/www.scientific.net/amm.472.443.
Texto completo da fonteBajenaru, Victor, Steven Lavoie, Brett Benyo, Christopher Riker, Mitchell Colby e James Vaccaro. "Recommender System Metaheuristic for Optimizing Decision-Making Computation". Electronics 12, n.º 12 (14 de junho de 2023): 2661. http://dx.doi.org/10.3390/electronics12122661.
Texto completo da fonteVaidhehi, V., e R. Suchithra. "A Systematic Review of Recommender Systems in Education". International Journal of Engineering & Technology 7, n.º 3.4 (25 de junho de 2018): 188. http://dx.doi.org/10.14419/ijet.v7i3.4.16771.
Texto completo da fonteUsman, Abdulgafar, Abubakar Roko, Aminu B. Muhammad e 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 completo da fonteBatra, Priya, Anukriti Singh e T. S. Mahesh. "Efficient Characterization of Quantum Evolutions via a Recommender System". Quantum 5 (6 de dezembro de 2021): 598. http://dx.doi.org/10.22331/q-2021-12-06-598.
Texto completo da fonteYadav, Dharminder, Himani Maheshwari e Umesh Chandra. "An Approach Towards Hotel Recommender System". Journal of Computational and Theoretical Nanoscience 17, n.º 6 (1 de junho de 2020): 2605–12. http://dx.doi.org/10.1166/jctn.2020.8936.
Texto completo da fonteNugroho, Arseto Satriyo, Igi Ardiyanto e 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 setembro de 2021): 75. http://dx.doi.org/10.22146/ijitee.67553.
Texto completo da fonteHdioud, Ferdaous, Bouchra Frikh, Brahim Ouhbi e Ismail Khalil. "Multi-Criteria Recommender Systems". International Journal of Mobile Computing and Multimedia Communications 8, n.º 4 (outubro de 2017): 20–48. http://dx.doi.org/10.4018/ijmcmc.2017100102.
Texto completo da fonteGeng, Bingrui, Lingling Li, Licheng Jiao, Maoguo Gong, Qing Cai e Yue Wu. "NNIA-RS: A multi-objective optimization based recommender system". Physica A: Statistical Mechanics and its Applications 424 (abril de 2015): 383–97. http://dx.doi.org/10.1016/j.physa.2015.01.007.
Texto completo da fonteTravada, Eko. "TEKNIK POLLING DI RECOMMENDER SYSTEM COLLABORATIVE FILTERING UNTUK PEMBELAJARAN DARING". Jurnal Teknologi dan Komunikasi Pemerintahan 2, n.º 1 (25 de junho de 2020): 43–51. http://dx.doi.org/10.33701/jtkp.v2i1.2299.
Texto completo da fonteSun, Jinyang, Baisong Liu, Hao Ren e Weiming Huang. "NCGAN:A neural adversarial collaborative filtering for recommender system". Journal of Intelligent & Fuzzy Systems 42, n.º 4 (4 de março de 2022): 2915–23. http://dx.doi.org/10.3233/jifs-210123.
Texto completo da fonteBin Abubakr Joolfoo, Muhammad, Radhika Dhurmoo e Rameshwar Ashwin Jugurnauth. "Design of a Recommender System (RS) for Job Searching Using Hybrid System". Internet of Things and Cloud Computing 8, n.º 3 (2020): 31. http://dx.doi.org/10.11648/j.iotcc.20200803.11.
Texto completo da fonteM. O., Omisore, e Samuel O. W. "Personalized Recommender System for Digital Libraries". International Journal of Web-Based Learning and Teaching Technologies 9, n.º 1 (janeiro de 2014): 18–32. http://dx.doi.org/10.4018/ijwltt.2014010102.
Texto completo da fonteBhuskute, Tanmay, Amit Jeve, Nihal Shah, Tejas Shah e B. A. Patil. "MediaRec: A Hybrid Media Recommender System". International Journal for Research in Applied Science and Engineering Technology 10, n.º 5 (31 de maio de 2022): 2723–28. http://dx.doi.org/10.22214/ijraset.2022.42927.
Texto completo da fontePiao, Jinghua, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yu Zheng, Chen Gao e Yong Li. "Bringing Friends into the Loop of Recommender Systems: An Exploratory Study". Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (13 de outubro de 2021): 1–26. http://dx.doi.org/10.1145/3479583.
Texto completo da fonteRabiu, Idris, Naomie Salim, Aminu Da’u e Akram Osman. "Recommender System Based on Temporal Models: A Systematic Review". Applied Sciences 10, n.º 7 (25 de março de 2020): 2204. http://dx.doi.org/10.3390/app10072204.
Texto completo da fonteZhao, Wayne Xin, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang e Ji-Rong Wen. "KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems". Data Intelligence 1, n.º 2 (maio de 2019): 121–36. http://dx.doi.org/10.1162/dint_a_00008.
Texto completo da fonteWilkinson, Daricia, Öznur Alkan, Q. Vera Liao, Massimiliano Mattetti, Inge Vejsbjerg, Bart P. Knijnenburg e Elizabeth Daly. "Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations". ACM Transactions on Information Systems 39, n.º 4 (31 de outubro de 2021): 1–21. http://dx.doi.org/10.1145/3441715.
Texto completo da fonteHaruna, Khalid, Aminu Musa, Zayyanu Yunusa, Yakubu Ibrahim, Fa’iz Ibrahim Jibia e Nur Bala Rabiu. "Location-Aware Recommender System: A review of Application Domains and Current Developmental Processes". Science in Information Technology Letters 2, n.º 1 (4 de março de 2022): 28–42. http://dx.doi.org/10.31763/sitech.v2i1.610.
Texto completo da fonteMali, Mahesh, Dhirendra Mishra e M. Vijayalaxmi. "Benchmarking for Recommender System (MFRISE)". 3C TIC: Cuadernos de desarrollo aplicados a las TIC 11, n.º 2 (29 de dezembro de 2022): 146–56. http://dx.doi.org/10.17993/3ctic.2022.112.146-156.
Texto completo da fonteChopra, Akanksha Bansal, e Veer Sain Dixit. "An adaptive RNN algorithm to detect shilling attacks for online products in hybrid recommender system". Journal of Intelligent Systems 31, n.º 1 (1 de janeiro de 2022): 1133–49. http://dx.doi.org/10.1515/jisys-2022-1023.
Texto completo da fonteEsheiba, Laila, Amal Elgammal, Iman M. A. Helal e Mohamed E. El-Sharkawi. "A Hybrid Knowledge-Based Recommender for Product-Service Systems Mass Customization". Information 12, n.º 8 (26 de julho de 2021): 296. http://dx.doi.org/10.3390/info12080296.
Texto completo da fonteVijayakumar, V., Subramaniyaswamy Vairavasundaram, R. Logesh e A. Sivapathi. "Effective Knowledge Based Recommender System for Tailored Multiple Point of Interest Recommendation". International Journal of Web Portals 11, n.º 1 (janeiro de 2019): 1–18. http://dx.doi.org/10.4018/ijwp.2019010101.
Texto completo da fonteIdakwo, John, Joshua Babatunde Agbogun e Taiwo Kolajo. "A Survey on Recommendation System Techniques". UMYU Scientifica 2, n.º 2 (30 de junho de 2023): 112–19. http://dx.doi.org/10.56919/usci.2322.012.
Texto completo da fonteKarabila, Ikram, Nossayba Darraz, Anas El-Ansari, Nabil Alami e Mostafa El Mallahi. "Enhancing Collaborative Filtering-Based Recommender System Using Sentiment Analysis". Future Internet 15, n.º 7 (5 de julho de 2023): 235. http://dx.doi.org/10.3390/fi15070235.
Texto completo da fonteA. Almohsen, Khadija, e Huda Al-Jobori. "Recommender Systems in Light of Big Data". International Journal of Electrical and Computer Engineering (IJECE) 5, n.º 6 (1 de dezembro de 2015): 1553. http://dx.doi.org/10.11591/ijece.v5i6.pp1553-1563.
Texto completo da fonteKuanr, Madhusree, e Puspanjali Mohapatra. "Assessment Methods for Evaluation of Recommender Systems: A Survey". Foundations of Computing and Decision Sciences 46, n.º 4 (1 de dezembro de 2021): 393–421. http://dx.doi.org/10.2478/fcds-2021-0023.
Texto completo da fonteAl-Asadi, Ammar Abdulsalam, e Mahdi Nsaif Jasim. "Cluster-based denoising autoencoders for rate prediction recommender systems". Indonesian Journal of Electrical Engineering and Computer Science 30, n.º 3 (1 de junho de 2023): 1805. http://dx.doi.org/10.11591/ijeecs.v30.i3.pp1805-1812.
Texto completo da fonteMat Amin, Maizan, Jannifer Yep Ai Lan, Mokhairi Makhtar e Abd Rasid Mamat. "A Decision Tree Based Recommender System for Backpackers Accommodations". International Journal of Engineering & Technology 7, n.º 2.15 (6 de abril de 2018): 45. http://dx.doi.org/10.14419/ijet.v7i2.15.11210.
Texto completo da fonteGuesmi, Mouadh, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh e Rawaa Alatrash. "Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System". Information 14, n.º 7 (14 de julho de 2023): 401. http://dx.doi.org/10.3390/info14070401.
Texto completo da fonteOjagh, Soroush, Mohammad Reza Malek e Sara Saeedi. "A Social–Aware Recommender System Based on User’s Personal Smart Devices". ISPRS International Journal of Geo-Information 9, n.º 9 (30 de agosto de 2020): 519. http://dx.doi.org/10.3390/ijgi9090519.
Texto completo da fonteHornik, Jacob, Chezy Ofir, Matti Rachamim e Sergei Graguer. "Fog Computing-Based Smart Consumer Recommender Systems". Journal of Theoretical and Applied Electronic Commerce Research 19, n.º 1 (11 de março de 2024): 597–614. http://dx.doi.org/10.3390/jtaer19010032.
Texto completo da fonteShafik, Wasswa, S. Mojtaba Matinkhah e Fawad Shokoor. "Recommendation System Comparative Analysis: Internet of Things aided Networks". EAI Endorsed Transactions on Internet of Things 8, n.º 29 (20 de maio de 2022): e5. http://dx.doi.org/10.4108/eetiot.v8i29.1108.
Texto completo da fonteGuo, Shangzhi, Xiaofeng Liao, Gang Li, Kaiyi Xian, Yuhang Li e Cheng Liang. "A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis". Entropy 25, n.º 7 (14 de julho de 2023): 1062. http://dx.doi.org/10.3390/e25071062.
Texto completo da fonteAljukhadar, Muhammad, e Sylvain Senecal. "The Effect of Consumer-Activated Mind-Set and Product Involvement on the Compliance With Recommender System Advice". SAGE Open 11, n.º 3 (julho de 2021): 215824402110315. http://dx.doi.org/10.1177/21582440211031550.
Texto completo da fonteMartínez-López, Francisco J., Irene Esteban-Millat, Ana Argila e Francisco Rejón-Guardia. "Consumers’ psychological outcomes linked to the use of an online store’s recommendation system". Internet Research 25, n.º 4 (3 de agosto de 2015): 562–88. http://dx.doi.org/10.1108/intr-01-2014-0033.
Texto completo da fonteZhu, Hongyun. "RS on video games based on item-based collaborative filtering algorithm". Applied and Computational Engineering 5, n.º 1 (14 de junho de 2023): 11–17. http://dx.doi.org/10.54254/2755-2721/5/20230515.
Texto completo da fonteLavanya, R., Ebani Gogia e Nihal Rai. "Comparison Study on Improved Movie Recommender Systems". Webology 18, Special Issue 04 (8 de dezembro de 2021): 1470–78. http://dx.doi.org/10.14704/web/v18si04/web18285.
Texto completo da fonteAhmed, Muqeem, Mohd Dilshad Ansari, Ninni Singh, Vinit Kumar Gunjan, Santhosh Krishna B. V. e Mudassir Khan. "Rating-Based Recommender System Based on Textual Reviews Using IoT Smart Devices". Mobile Information Systems 2022 (11 de julho de 2022): 1–18. http://dx.doi.org/10.1155/2022/2854741.
Texto completo da fonteBahramian, Z., e R. Ali Abbaspour. "AN ONTOLOGY-BASED TOURISM RECOMMENDER SYSTEM BASED ON SPREADING ACTIVATION MODEL". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (10 de dezembro de 2015): 83–90. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-83-2015.
Texto completo da fonteYin, Hongzhi, Weiqing Wang, Liang Chen, Xingzhong Du, Quoc Viet Hung Nguyen e Zi Huang. "Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system". Knowledge-Based Systems 157 (outubro de 2018): 68–80. http://dx.doi.org/10.1016/j.knosys.2018.05.028.
Texto completo da fonteAbdelkhalek, Raoua, Imen Boukhris e Zied Elouedi. "Towards more trustworthy predictions: A hybrid evidential movie recommender system". JUCS - Journal of Universal Computer Science 28, n.º 10 (28 de outubro de 2022): 1003–29. http://dx.doi.org/10.3897/jucs.79777.
Texto completo da fontePatro, Sunkuru Gopal Krishna, Brojo Kishore Mishra, Sanjaya Kumar Panda, Raghvendra Kumar, Hoang Viet Long e Tran Manh Tuan. "Knowledge-based preference learning model for recommender system using adaptive neuro-fuzzy inference system". Journal of Intelligent & Fuzzy Systems 39, n.º 3 (7 de outubro de 2020): 4651–65. http://dx.doi.org/10.3233/jifs-200595.
Texto completo da fonteR.Sowmya, Dr T. Ananth Kumar, Dr R. Rajmohan, Dr P. Kanimozhi, Dr Christo Ananth e Sunday A. AJAGBE. "A Brief Survey on Recommendation System for a Gradient Classifier based Inadequate Approach System". Middle East Journal of Applied Science & Technology 06, n.º 02 (2023): 01–08. http://dx.doi.org/10.46431/mejast.2023.6201.
Texto completo da fonteObeid, Charbel, Christine Lahoud, Khoury El e Pierre-Antoine Champin. "A novel hybrid recommender system approach for student academic advising named COHRS, supported by case-based reasoning and ontology". Computer Science and Information Systems, n.º 00 (2022): 11. http://dx.doi.org/10.2298/csis220215011o.
Texto completo da fonteWhang, Claire, e Hyunjoo Im. "Does recommendation matter for trusting beliefs and trusting intentions? Focused on different types of recommender system and sponsored recommendation". International Journal of Retail & Distribution Management 46, n.º 10 (8 de outubro de 2018): 944–58. http://dx.doi.org/10.1108/ijrdm-06-2017-0122.
Texto completo da fonteS, Saranya, e C. Jeyalakshmi. "Collaborative Movie Recommendation System using Enhanced Fuzzy C-Means Clustering with Dove Swarm Optimization Algorithm". ECTI Transactions on Computer and Information Technology (ECTI-CIT) 17, n.º 3 (22 de julho de 2023): 308–18. http://dx.doi.org/10.37936/ecti-cit.2023173.251272.
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