Artykuły w czasopismach na temat „Recommender System (RS)”
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Walia, Prof Ranjanroop. "Online Recommender System". International Journal for Research in Applied Science and Engineering Technology 9, nr VII (30.07.2021): 2569–77. http://dx.doi.org/10.22214/ijraset.2021.36424.
Pełny tekst źródłaLahlou, Fatima Zahra, Houda Benbrahim i Ismail Kassou. "Review Aware Recommender System". International Journal of Distributed Artificial Intelligence 10, nr 2 (lipiec 2018): 28–50. http://dx.doi.org/10.4018/ijdai.2018070102.
Pełny tekst źródłaKumar Sahni, Dheeraj. "Recommender System (RS): Challenges, Issues & Extensions". Mapana Journal of Sciences 21, nr 1 (1.01.2022): 73–92. http://dx.doi.org/10.12723/mjs.60.6.
Pełny tekst źródłaKang, Li Ting, i Yong Wang. "Seven Factors in Evaluating Recommender System". Applied Mechanics and Materials 472 (styczeń 2014): 443–49. http://dx.doi.org/10.4028/www.scientific.net/amm.472.443.
Pełny tekst źródłaBajenaru, Victor, Steven Lavoie, Brett Benyo, Christopher Riker, Mitchell Colby i James Vaccaro. "Recommender System Metaheuristic for Optimizing Decision-Making Computation". Electronics 12, nr 12 (14.06.2023): 2661. http://dx.doi.org/10.3390/electronics12122661.
Pełny tekst źródłaVaidhehi, V., i R. Suchithra. "A Systematic Review of Recommender Systems in Education". International Journal of Engineering & Technology 7, nr 3.4 (25.06.2018): 188. http://dx.doi.org/10.14419/ijet.v7i3.4.16771.
Pełny tekst źródłaUsman, Abdulgafar, Abubakar Roko, Aminu B. Muhammad i Abba Almu. "Enhancing Personalized Book Recommender System". International Journal of Advanced Networking and Applications 14, nr 03 (2022): 5486–92. http://dx.doi.org/10.35444/ijana.2022.14311.
Pełny tekst źródłaBatra, Priya, Anukriti Singh i T. S. Mahesh. "Efficient Characterization of Quantum Evolutions via a Recommender System". Quantum 5 (6.12.2021): 598. http://dx.doi.org/10.22331/q-2021-12-06-598.
Pełny tekst źródłaYadav, Dharminder, Himani Maheshwari i Umesh Chandra. "An Approach Towards Hotel Recommender System". Journal of Computational and Theoretical Nanoscience 17, nr 6 (1.06.2020): 2605–12. http://dx.doi.org/10.1166/jctn.2020.8936.
Pełny tekst źródłaNugroho, Arseto Satriyo, Igi Ardiyanto i Teguh Bharata Adji. "User Curiosity Factor in Determining Serendipity of Recommender System". IJITEE (International Journal of Information Technology and Electrical Engineering) 5, nr 3 (30.09.2021): 75. http://dx.doi.org/10.22146/ijitee.67553.
Pełny tekst źródłaHdioud, Ferdaous, Bouchra Frikh, Brahim Ouhbi i Ismail Khalil. "Multi-Criteria Recommender Systems". International Journal of Mobile Computing and Multimedia Communications 8, nr 4 (październik 2017): 20–48. http://dx.doi.org/10.4018/ijmcmc.2017100102.
Pełny tekst źródłaGeng, Bingrui, Lingling Li, Licheng Jiao, Maoguo Gong, Qing Cai i Yue Wu. "NNIA-RS: A multi-objective optimization based recommender system". Physica A: Statistical Mechanics and its Applications 424 (kwiecień 2015): 383–97. http://dx.doi.org/10.1016/j.physa.2015.01.007.
Pełny tekst źródłaTravada, Eko. "TEKNIK POLLING DI RECOMMENDER SYSTEM COLLABORATIVE FILTERING UNTUK PEMBELAJARAN DARING". Jurnal Teknologi dan Komunikasi Pemerintahan 2, nr 1 (25.06.2020): 43–51. http://dx.doi.org/10.33701/jtkp.v2i1.2299.
Pełny tekst źródłaSun, Jinyang, Baisong Liu, Hao Ren i Weiming Huang. "NCGAN:A neural adversarial collaborative filtering for recommender system". Journal of Intelligent & Fuzzy Systems 42, nr 4 (4.03.2022): 2915–23. http://dx.doi.org/10.3233/jifs-210123.
Pełny tekst źródłaBin Abubakr Joolfoo, Muhammad, Radhika Dhurmoo i Rameshwar Ashwin Jugurnauth. "Design of a Recommender System (RS) for Job Searching Using Hybrid System". Internet of Things and Cloud Computing 8, nr 3 (2020): 31. http://dx.doi.org/10.11648/j.iotcc.20200803.11.
Pełny tekst źródłaM. O., Omisore, i Samuel O. W. "Personalized Recommender System for Digital Libraries". International Journal of Web-Based Learning and Teaching Technologies 9, nr 1 (styczeń 2014): 18–32. http://dx.doi.org/10.4018/ijwltt.2014010102.
Pełny tekst źródłaBhuskute, Tanmay, Amit Jeve, Nihal Shah, Tejas Shah i B. A. Patil. "MediaRec: A Hybrid Media Recommender System". International Journal for Research in Applied Science and Engineering Technology 10, nr 5 (31.05.2022): 2723–28. http://dx.doi.org/10.22214/ijraset.2022.42927.
Pełny tekst źródłaPiao, Jinghua, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yu Zheng, Chen Gao i Yong Li. "Bringing Friends into the Loop of Recommender Systems: An Exploratory Study". Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (13.10.2021): 1–26. http://dx.doi.org/10.1145/3479583.
Pełny tekst źródłaRabiu, Idris, Naomie Salim, Aminu Da’u i Akram Osman. "Recommender System Based on Temporal Models: A Systematic Review". Applied Sciences 10, nr 7 (25.03.2020): 2204. http://dx.doi.org/10.3390/app10072204.
Pełny tekst źródłaZhao, Wayne Xin, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang i Ji-Rong Wen. "KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems". Data Intelligence 1, nr 2 (maj 2019): 121–36. http://dx.doi.org/10.1162/dint_a_00008.
Pełny tekst źródłaWilkinson, Daricia, Öznur Alkan, Q. Vera Liao, Massimiliano Mattetti, Inge Vejsbjerg, Bart P. Knijnenburg i Elizabeth Daly. "Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations". ACM Transactions on Information Systems 39, nr 4 (31.10.2021): 1–21. http://dx.doi.org/10.1145/3441715.
Pełny tekst źródłaHaruna, Khalid, Aminu Musa, Zayyanu Yunusa, Yakubu Ibrahim, Fa’iz Ibrahim Jibia i Nur Bala Rabiu. "Location-Aware Recommender System: A review of Application Domains and Current Developmental Processes". Science in Information Technology Letters 2, nr 1 (4.03.2022): 28–42. http://dx.doi.org/10.31763/sitech.v2i1.610.
Pełny tekst źródłaMali, Mahesh, Dhirendra Mishra i M. Vijayalaxmi. "Benchmarking for Recommender System (MFRISE)". 3C TIC: Cuadernos de desarrollo aplicados a las TIC 11, nr 2 (29.12.2022): 146–56. http://dx.doi.org/10.17993/3ctic.2022.112.146-156.
Pełny tekst źródłaChopra, Akanksha Bansal, i Veer Sain Dixit. "An adaptive RNN algorithm to detect shilling attacks for online products in hybrid recommender system". Journal of Intelligent Systems 31, nr 1 (1.01.2022): 1133–49. http://dx.doi.org/10.1515/jisys-2022-1023.
Pełny tekst źródłaEsheiba, Laila, Amal Elgammal, Iman M. A. Helal i Mohamed E. El-Sharkawi. "A Hybrid Knowledge-Based Recommender for Product-Service Systems Mass Customization". Information 12, nr 8 (26.07.2021): 296. http://dx.doi.org/10.3390/info12080296.
Pełny tekst źródłaVijayakumar, V., Subramaniyaswamy Vairavasundaram, R. Logesh i A. Sivapathi. "Effective Knowledge Based Recommender System for Tailored Multiple Point of Interest Recommendation". International Journal of Web Portals 11, nr 1 (styczeń 2019): 1–18. http://dx.doi.org/10.4018/ijwp.2019010101.
Pełny tekst źródłaIdakwo, John, Joshua Babatunde Agbogun i Taiwo Kolajo. "A Survey on Recommendation System Techniques". UMYU Scientifica 2, nr 2 (30.06.2023): 112–19. http://dx.doi.org/10.56919/usci.2322.012.
Pełny tekst źródłaKarabila, Ikram, Nossayba Darraz, Anas El-Ansari, Nabil Alami i Mostafa El Mallahi. "Enhancing Collaborative Filtering-Based Recommender System Using Sentiment Analysis". Future Internet 15, nr 7 (5.07.2023): 235. http://dx.doi.org/10.3390/fi15070235.
Pełny tekst źródłaA. Almohsen, Khadija, i Huda Al-Jobori. "Recommender Systems in Light of Big Data". International Journal of Electrical and Computer Engineering (IJECE) 5, nr 6 (1.12.2015): 1553. http://dx.doi.org/10.11591/ijece.v5i6.pp1553-1563.
Pełny tekst źródłaKuanr, Madhusree, i Puspanjali Mohapatra. "Assessment Methods for Evaluation of Recommender Systems: A Survey". Foundations of Computing and Decision Sciences 46, nr 4 (1.12.2021): 393–421. http://dx.doi.org/10.2478/fcds-2021-0023.
Pełny tekst źródłaAl-Asadi, Ammar Abdulsalam, i Mahdi Nsaif Jasim. "Cluster-based denoising autoencoders for rate prediction recommender systems". Indonesian Journal of Electrical Engineering and Computer Science 30, nr 3 (1.06.2023): 1805. http://dx.doi.org/10.11591/ijeecs.v30.i3.pp1805-1812.
Pełny tekst źródłaMat Amin, Maizan, Jannifer Yep Ai Lan, Mokhairi Makhtar i Abd Rasid Mamat. "A Decision Tree Based Recommender System for Backpackers Accommodations". International Journal of Engineering & Technology 7, nr 2.15 (6.04.2018): 45. http://dx.doi.org/10.14419/ijet.v7i2.15.11210.
Pełny tekst źródłaGuesmi, Mouadh, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh i Rawaa Alatrash. "Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System". Information 14, nr 7 (14.07.2023): 401. http://dx.doi.org/10.3390/info14070401.
Pełny tekst źródłaOjagh, Soroush, Mohammad Reza Malek i Sara Saeedi. "A Social–Aware Recommender System Based on User’s Personal Smart Devices". ISPRS International Journal of Geo-Information 9, nr 9 (30.08.2020): 519. http://dx.doi.org/10.3390/ijgi9090519.
Pełny tekst źródłaHornik, Jacob, Chezy Ofir, Matti Rachamim i Sergei Graguer. "Fog Computing-Based Smart Consumer Recommender Systems". Journal of Theoretical and Applied Electronic Commerce Research 19, nr 1 (11.03.2024): 597–614. http://dx.doi.org/10.3390/jtaer19010032.
Pełny tekst źródłaShafik, Wasswa, S. Mojtaba Matinkhah i Fawad Shokoor. "Recommendation System Comparative Analysis: Internet of Things aided Networks". EAI Endorsed Transactions on Internet of Things 8, nr 29 (20.05.2022): e5. http://dx.doi.org/10.4108/eetiot.v8i29.1108.
Pełny tekst źródłaGuo, Shangzhi, Xiaofeng Liao, Gang Li, Kaiyi Xian, Yuhang Li i Cheng Liang. "A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis". Entropy 25, nr 7 (14.07.2023): 1062. http://dx.doi.org/10.3390/e25071062.
Pełny tekst źródłaAljukhadar, Muhammad, i Sylvain Senecal. "The Effect of Consumer-Activated Mind-Set and Product Involvement on the Compliance With Recommender System Advice". SAGE Open 11, nr 3 (lipiec 2021): 215824402110315. http://dx.doi.org/10.1177/21582440211031550.
Pełny tekst źródłaMartínez-López, Francisco J., Irene Esteban-Millat, Ana Argila i Francisco Rejón-Guardia. "Consumers’ psychological outcomes linked to the use of an online store’s recommendation system". Internet Research 25, nr 4 (3.08.2015): 562–88. http://dx.doi.org/10.1108/intr-01-2014-0033.
Pełny tekst źródłaZhu, Hongyun. "RS on video games based on item-based collaborative filtering algorithm". Applied and Computational Engineering 5, nr 1 (14.06.2023): 11–17. http://dx.doi.org/10.54254/2755-2721/5/20230515.
Pełny tekst źródłaLavanya, R., Ebani Gogia i Nihal Rai. "Comparison Study on Improved Movie Recommender Systems". Webology 18, Special Issue 04 (8.12.2021): 1470–78. http://dx.doi.org/10.14704/web/v18si04/web18285.
Pełny tekst źródłaAhmed, Muqeem, Mohd Dilshad Ansari, Ninni Singh, Vinit Kumar Gunjan, Santhosh Krishna B. V. i Mudassir Khan. "Rating-Based Recommender System Based on Textual Reviews Using IoT Smart Devices". Mobile Information Systems 2022 (11.07.2022): 1–18. http://dx.doi.org/10.1155/2022/2854741.
Pełny tekst źródłaBahramian, Z., i 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 (10.12.2015): 83–90. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-83-2015.
Pełny tekst źródłaYin, Hongzhi, Weiqing Wang, Liang Chen, Xingzhong Du, Quoc Viet Hung Nguyen i Zi Huang. "Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system". Knowledge-Based Systems 157 (październik 2018): 68–80. http://dx.doi.org/10.1016/j.knosys.2018.05.028.
Pełny tekst źródłaAbdelkhalek, Raoua, Imen Boukhris i Zied Elouedi. "Towards more trustworthy predictions: A hybrid evidential movie recommender system". JUCS - Journal of Universal Computer Science 28, nr 10 (28.10.2022): 1003–29. http://dx.doi.org/10.3897/jucs.79777.
Pełny tekst źródłaPatro, Sunkuru Gopal Krishna, Brojo Kishore Mishra, Sanjaya Kumar Panda, Raghvendra Kumar, Hoang Viet Long i Tran Manh Tuan. "Knowledge-based preference learning model for recommender system using adaptive neuro-fuzzy inference system". Journal of Intelligent & Fuzzy Systems 39, nr 3 (7.10.2020): 4651–65. http://dx.doi.org/10.3233/jifs-200595.
Pełny tekst źródłaR.Sowmya, Dr T. Ananth Kumar, Dr R. Rajmohan, Dr P. Kanimozhi, Dr Christo Ananth i 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, nr 02 (2023): 01–08. http://dx.doi.org/10.46431/mejast.2023.6201.
Pełny tekst źródłaObeid, Charbel, Christine Lahoud, Khoury El i 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, nr 00 (2022): 11. http://dx.doi.org/10.2298/csis220215011o.
Pełny tekst źródłaWhang, Claire, i 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, nr 10 (8.10.2018): 944–58. http://dx.doi.org/10.1108/ijrdm-06-2017-0122.
Pełny tekst źródłaS, Saranya, i 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, nr 3 (22.07.2023): 308–18. http://dx.doi.org/10.37936/ecti-cit.2023173.251272.
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