Статті в журналах з теми "RECOMMENDATION TECHNIQUES"
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Dondekar, Anupama D., and Balwant A. Sonkamble. "Tag Recommendation Techniques for Images: A Survey." International Journal of Signal Processing Systems 5, no. 4 (December 2017): 116–22. http://dx.doi.org/10.18178/ijsps.5.4.116-122.
Повний текст джерелаGorli, Ravi, and Bagusetty Ajay Ram. "MRML-Movie Recommendation Model with Machine Learning Techniques." International Journal of Science and Research (IJSR) 12, no. 5 (May 5, 2023): 298–302. http://dx.doi.org/10.21275/sr23322101301.
Повний текст джерелаTR, Mahesh, and V Vinoth Kumar. "Clustering Techniques for Recommendation of Movies." International Journal of Data Informatics and Intelligent Computing 1, no. 2 (December 21, 2022): 16–22. http://dx.doi.org/10.59461/ijdiic.v1i2.17.
Повний текст джерелаTewari, Anand Shanker, and Asim Gopal Barman. "Sequencing of items in personalized recommendations using multiple recommendation techniques." Expert Systems with Applications 97 (May 2018): 70–82. http://dx.doi.org/10.1016/j.eswa.2017.12.019.
Повний текст джерелаAl-Absi, Mohammed Abdulhakim, and Hind R’bigui. "Process Discovery Techniques Recommendation Framework." Electronics 12, no. 14 (July 17, 2023): 3108. http://dx.doi.org/10.3390/electronics12143108.
Повний текст джерелаGaurkhede, Miss Pratiksha P. "Review Paper on various Recommendation Techniques of Friends Recommendation System." International Journal for Research in Applied Science and Engineering Technology 9, no. 4 (April 30, 2021): 894–97. http://dx.doi.org/10.22214/ijraset.2021.33770.
Повний текст джерелаNazema, Syeda. "A Survey on Feature Recommendation Techniques." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 3 (2015): 1662–68. http://dx.doi.org/10.17762/ijritcc2321-8169.1503167.
Повний текст джерелаKo, Hyeyoung, Suyeon Lee, Yoonseo Park, and Anna Choi. "A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields." Electronics 11, no. 1 (January 3, 2022): 141. http://dx.doi.org/10.3390/electronics11010141.
Повний текст джерелаDas, Joydeep, Subhashis Majumder, and Kalyani Mali. "Clustering Techniques to Improve Scalability and Accuracy of Recommender Systems." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, no. 04 (August 2021): 621–51. http://dx.doi.org/10.1142/s0218488521500276.
Повний текст джерелаKumar, Praveen, Mukesh Kumar Gupta, Channapragada Rama Seshagiri Rao, M. Bhavsingh, and M. Srilakshmi. "A Comparative Analysis of Collaborative Filtering Similarity Measurements for Recommendation Systems." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3s (March 11, 2023): 184–92. http://dx.doi.org/10.17762/ijritcc.v11i3s.6180.
Повний текст джерелаShargunam, S., and G. Rajakumar. "Filtering Techniques in Recommendation Systems: A Review." Asian Journal of Science and Applied Technology 10, no. 2 (November 5, 2021): 22–25. http://dx.doi.org/10.51983/ajsat-2021.10.2.3059.
Повний текст джерелаSofikitis, Evangelos, and Christos Makris. "Development of recommendation systems using game theoretic techniques." Computer Science and Information Systems, no. 00 (2022): 18. http://dx.doi.org/10.2298/csis210925018s.
Повний текст джерелаJajoo, Palika, and Dolly Mittal. "A Review on Techniques of Recommendation System." SKIT Research Journal 11, no. 2 (January 11, 2021): 31. http://dx.doi.org/10.47904/ijskit.11.2.2021.31-36.
Повний текст джерелаLu, Jinliang. "A Survey of Online Course Recommendation Techniques." Open Journal of Applied Sciences 12, no. 01 (2022): 134–54. http://dx.doi.org/10.4236/ojapps.2022.121010.
Повний текст джерелаBehl, Rachna, and Indu Kashyap. "Locus recommendation using probabilistic matrix factorization techniques." Ingeniería Solidaria 17, no. 1 (January 11, 2021): 1–25. http://dx.doi.org/10.16925/2357-6014.2021.01.10.
Повний текст джерелаAdomavicius, Gediminas, and YoungOk Kwon. "New Recommendation Techniques for Multicriteria Rating Systems." IEEE Intelligent Systems 22, no. 3 (May 2007): 48–55. http://dx.doi.org/10.1109/mis.2007.58.
Повний текст джерелаMahmood, Wisam Alnadem, LaythKamil Almajmaie, Ahmed Raad Raheem, and Saad Albawi. "A hybrid approach towards movie recommendation system with collaborative filtering and association rule mining." Acta Scientiarum. Technology 44 (March 11, 2022): e58925. http://dx.doi.org/10.4025/actascitechnol.v44i1.58925.
Повний текст джерелаO'DONOVAN, JOHN, and BARRY SMYTH. "MINING TRUST VALUES FROM RECOMMENDATION ERRORS." International Journal on Artificial Intelligence Tools 15, no. 06 (December 2006): 945–62. http://dx.doi.org/10.1142/s0218213006003053.
Повний текст джерелаHuang, Xiao, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, and Maarten de Rijke. "Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020." ACM SIGIR Forum 54, no. 1 (June 2020): 1–5. http://dx.doi.org/10.1145/3451964.3451970.
Повний текст джерелаN. Thangarasu, R. Rajalakshmi, G. Manivasagam, and V. Vijayalakshmi. "Performance of re-ranking techniques used for recommendation method to the user CF- Model." International Journal of Data Informatics and Intelligent Computing 1, no. 1 (September 23, 2022): 30–38. http://dx.doi.org/10.59461/ijdiic.v1i1.9.
Повний текст джерелаParasuraman, Desabandh, and Sathiyamoorthy Elumalai. "Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation." Journal of information and organizational sciences 45, no. 2 (December 15, 2021): 535–51. http://dx.doi.org/10.31341/jios.45.2.10.
Повний текст джерелаSalau, Latifat, Mohamed Hamada, Rajesh Prasad, Mohammed Hassan, Anand Mahendran, and Yutaka Watanobe. "State-of-the-Art Survey on Deep Learning-Based Recommender Systems for E-Learning." Applied Sciences 12, no. 23 (November 24, 2022): 11996. http://dx.doi.org/10.3390/app122311996.
Повний текст джерелаSu, Zhan, Haochuan Yang, and Jun Ai. "FPLV: Enhancing recommender systems with fuzzy preference, vector similarity, and user community for rating prediction." PLOS ONE 18, no. 8 (August 28, 2023): e0290622. http://dx.doi.org/10.1371/journal.pone.0290622.
Повний текст джерелаJain, Gourav, Nishchol Mishra, and Sanjeev Sharma. "A Survey on Recommendation Techniques in Numerous Domains." International Journal of Computer Applications 67, no. 25 (April 18, 2013): 26–30. http://dx.doi.org/10.5120/11745-7379.
Повний текст джерелаChung, Young-Mee, and Yong-Gu Lee. "Developing a Book Recommendation System Using Filtering Techniques." Journal of Information Management 33, no. 1 (March 31, 2002): 1–17. http://dx.doi.org/10.1633/jim.2002.33.1.001.
Повний текст джерелаDENNOUNI, Nassim, Zohra SLAMA, Yvan PETER, and Luigi LANCIERI. "Recommendation Techniques in Mobile Learning Context: A Review." International Journal of Modern Education and Computer Science 9, no. 10 (October 8, 2017): 37–46. http://dx.doi.org/10.5815/ijmecs.2017.10.05.
Повний текст джерелаLei, Jian Lan, Jin Wang, Guo Dong Lu, and Shao Mei Fei. "Applying Collaborative Filtering Techniques for Individual Fashion Recommendation." Advanced Materials Research 102-104 (March 2010): 31–35. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.31.
Повний текст джерелаAditya, T. S., Karthik Rajaraman, and M. Monica Subashini. "Comparative Analysis of Clustering Techniques for Movie Recommendation." MATEC Web of Conferences 225 (2018): 02004. http://dx.doi.org/10.1051/matecconf/201822502004.
Повний текст джерелаAdomavicius, G., and YoungOk Kwon. "Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques." IEEE Transactions on Knowledge and Data Engineering 24, no. 5 (May 2012): 896–911. http://dx.doi.org/10.1109/tkde.2011.15.
Повний текст джерелаHopfgartner, Frank, and Joemon M. Jose. "Semantic user profiling techniques for personalised multimedia recommendation." Multimedia Systems 16, no. 4-5 (May 14, 2010): 255–74. http://dx.doi.org/10.1007/s00530-010-0189-6.
Повний текст джерелаGuo, Xuetao, and Jie Lu. "Intelligent e-government services with personalized recommendation techniques." International Journal of Intelligent Systems 22, no. 5 (2007): 401–17. http://dx.doi.org/10.1002/int.20206.
Повний текст джерелаKumar, Pushpendra, and Ramjeevan Singh Thakur. "Recommendation system techniques and related issues: a survey." International Journal of Information Technology 10, no. 4 (April 7, 2018): 495–501. http://dx.doi.org/10.1007/s41870-018-0138-8.
Повний текст джерелаBansal, Saumya, and Niyati Baliyan. "A Study of Recent Recommender System Techniques." International Journal of Knowledge and Systems Science 10, no. 2 (April 2019): 13–41. http://dx.doi.org/10.4018/ijkss.2019040102.
Повний текст джерелаIkram, Fasiha, and Humera Farooq. "Multimedia Recommendation System for Video Game Based on High-Level Visual Semantic Features." Scientific Programming 2022 (February 3, 2022): 1–12. http://dx.doi.org/10.1155/2022/6084363.
Повний текст джерелаUçar, Tamer, and Adem Karahoca. "Personalizing trip recommendations: A framework proposal." Global Journal of Computer Science 5, no. 1 (November 13, 2015): 24. http://dx.doi.org/10.18844/gjcs.v5i1.30.
Повний текст джерелаRavi, Logesh, and Subramaniyaswamy Vairavasundaram. "A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users." Computational Intelligence and Neuroscience 2016 (2016): 1–28. http://dx.doi.org/10.1155/2016/1291358.
Повний текст джерелаVerma, Rupal. "Movie Recommendation System by Using Collaborative Filtering." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 888–92. http://dx.doi.org/10.22214/ijraset.2021.38084.
Повний текст джерелаSantosh, Mohit, Viren Rajhauns, Deepankar Bhade, and Prof Debarati Ghosal. "Aaroha: A Music Recommendation System." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 3591–95. http://dx.doi.org/10.22214/ijraset.2023.50908.
Повний текст джерелаVanbiervliet, Geoffroy, Alan Moss, Marianna Arvanitakis, Urban Arnelo, Torsten Beyna, Olivier Busch, Pierre H. Deprez, et al. "Endoscopic management of superficial nonampullary duodenal tumors: European Society of Gastrointestinal Endoscopy (ESGE) Guideline." Endoscopy 53, no. 05 (April 1, 2021): 522–34. http://dx.doi.org/10.1055/a-1442-2395.
Повний текст джерелаYanhong, Shen. "Design of Digital Network Shared Learning Platform Based on SCORM Standard." International Journal of Emerging Technologies in Learning (iJET) 13, no. 07 (June 28, 2018): 214. http://dx.doi.org/10.3991/ijet.v13i07.8602.
Повний текст джерелаHN, Manjula, Nivin Srinivas S, and Samuel Raj S. "Survey on Recommendation Engines built using Collaborative Filtering Techniques." IJIREEICE 7, no. 3 (March 30, 2019): 44–46. http://dx.doi.org/10.17148/ijireeice.2019.7309.
Повний текст джерелаUgale, Prof Meena, Nimeesha Venkatavelu, Pranay Patil, and Suraj Rane. "Review of Machine Learning Techniques for Crop Recommendation System." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 467–77. http://dx.doi.org/10.22214/ijraset.2022.40559.
Повний текст джерелаSahal, Radhya, Sahar Selim, and Abeer ElKorany. "An Adaptive Framework for Enhancing Recommendation Using Hybrid Techniques." International Journal of Computer Science and Information Technology 6, no. 2 (April 30, 2014): 51–66. http://dx.doi.org/10.5121/ijcsit.2014.6204.
Повний текст джерелаNguyen, Thi Thanh Sang, Hai Yan Lu, Tich Phuoc Tran, and Jie Lu. "Investigation of sequential pattern mining techniques for web recommendation." International Journal of Information and Decision Sciences 4, no. 4 (2012): 293. http://dx.doi.org/10.1504/ijids.2012.050378.
Повний текст джерелаZhang, Junjie, Kaixuan Liu, Min Dong, Hua Yuan, Chun Zhu, and Xianyi Zeng. "An intelligent garment recommendation system based on fuzzy techniques." Journal of The Textile Institute 111, no. 9 (December 3, 2019): 1324–30. http://dx.doi.org/10.1080/00405000.2019.1694351.
Повний текст джерелаkumar, Ravi, and Kali raj. "Location Based Service Recommendation System Using Hierarchy Clustering Techniques." International Journal of Computer Trends and Technology 36, no. 2 (June 25, 2016): 81–86. http://dx.doi.org/10.14445/22312803/ijctt-v36p114.
Повний текст джерелаCornelis, Chris, Jie Lu, Xuetao Guo, and Guanquang Zhang. "One-and-only item recommendation with fuzzy logic techniques." Information Sciences 177, no. 22 (November 2007): 4906–21. http://dx.doi.org/10.1016/j.ins.2007.07.001.
Повний текст джерелаAjmera, Avi, Mudit Bhandari, Harshit Kumar Jain, and Supriya Agarwal. "Crop, Fertilizer, & Irrigation Recommendation using Machine Learning Techniques." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 29–35. http://dx.doi.org/10.22214/ijraset.2022.47793.
Повний текст джерелаKumar, M. A. R., Abdullah Khan Mohammed, Siri Reddy Gundlapally, Tarun Ramavath, and Yadav Sujith. "Automatic car service recommendation system using machine learning techniques." i-manager’s Journal on Image Processing 9, no. 4 (2022): 46. http://dx.doi.org/10.26634/jip.9.4.19241.
Повний текст джерелаM C, Prakash, and P. Saravanan. "Crop Insurance Premium Recommendation System Using Artificial Intelligence Techniques." International Journal of Professional Business Review 8, no. 4 (April 14, 2023): e01270. http://dx.doi.org/10.26668/businessreview/2023.v8i4.1270.
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