Artigos de revistas sobre o tema "Large Scale Recommendation"
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Laddha, Abhishek, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa e Ankur Narang. "Large Scale Multilingual Sticker Recommendation In Messaging Apps". AI Magazine 42, n.º 4 (12 de janeiro de 2022): 16–28. http://dx.doi.org/10.1609/aimag.v42i4.15098.
Texto completo da fonteZhou, Wang, Yongluan Zhou, Jianping Li e Muhammad Hammad Memon. "LsRec: Large-scale social recommendation with online update". Expert Systems with Applications 162 (dezembro de 2020): 113739. http://dx.doi.org/10.1016/j.eswa.2020.113739.
Texto completo da fonteSakhi, Otmane, David Rohde e Alexandre Gilotte. "Fast Offline Policy Optimization for Large Scale Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 8 (26 de junho de 2023): 9686–94. http://dx.doi.org/10.1609/aaai.v37i8.26158.
Texto completo da fonteLaddha, Abhishek, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa e Ankur Narang. "Large Scale Multilingual Sticker Recommendation In Messaging Apps". AI Magazine 42, n.º 4 (18 de janeiro de 2022): 16–28. http://dx.doi.org/10.1609/aaai.12023.
Texto completo da fonteLiu, Yang, Cheng Lyu, Zhiyuan Liu e Jinde Cao. "Exploring a large-scale multi-modal transportation recommendation system". Transportation Research Part C: Emerging Technologies 126 (maio de 2021): 103070. http://dx.doi.org/10.1016/j.trc.2021.103070.
Texto completo da fonteE, HaiHong, JianFeng WANG, MeiNa SONG, Qiang BI e YingYi LIU. "Incremental weighted bipartite algorithm for large-scale recommendation systems". TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 24 (2016): 448–63. http://dx.doi.org/10.3906/elk-1307-91.
Texto completo da fonteChen, Haokun, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang e Yong Yu. "Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 3312–20. http://dx.doi.org/10.1609/aaai.v33i01.33013312.
Texto completo da fonteHASHIMOTO, T. "Recommendation for Large Scale Intervention Study on Industrial Population". Sangyo Igaku 34, n.º 4 (1992): 309. http://dx.doi.org/10.1539/joh1959.34.309.
Texto completo da fonteKhan, Muhammad Usman Shahid, Osman Khalid, Ying Huang, Rajiv Ranjan, Fan Zhang, Junwei Cao, Bharadwaj Veeravalli, Samee U. Khan, Keqin Li e Albert Y. Zomaya. "MacroServ: A Route Recommendation Service for Large-Scale Evacuations". IEEE Transactions on Services Computing 10, n.º 4 (1 de julho de 2017): 589–602. http://dx.doi.org/10.1109/tsc.2015.2497241.
Texto completo da fonteBathla, Gourav, Himanshu Aggarwal e Rinkle Rani. "Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph". International Journal of Cognitive Informatics and Natural Intelligence 14, n.º 4 (outubro de 2020): 42–61. http://dx.doi.org/10.4018/ijcini.2020100103.
Texto completo da fonteXu, Ruzhi, Shuaiqiang Wang, Xuwei Zheng e Yinong Chen. "Distributed collaborative filtering with singular ratings for large scale recommendation". Journal of Systems and Software 95 (setembro de 2014): 231–41. http://dx.doi.org/10.1016/j.jss.2014.04.045.
Texto completo da fonteHu, Long, Kai Lin, Mohammad Mehedi Hassan, Atif Alamri e Abdulhameed Alelaiwi. "CFSF: On Cloud-Based Recommendation for Large-Scale E-commerce". Mobile Networks and Applications 20, n.º 3 (30 de janeiro de 2015): 380–90. http://dx.doi.org/10.1007/s11036-014-0560-5.
Texto completo da fonteSchall, Daniel. "Who to follow recommendation in large-scale online development communities". Information and Software Technology 56, n.º 12 (dezembro de 2014): 1543–55. http://dx.doi.org/10.1016/j.infsof.2013.12.003.
Texto completo da fonteSang Hyun Choi, Young-Seon Jeong e Myong K. Jeong. "A Hybrid Recommendation Method with Reduced Data for Large-Scale Application". IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40, n.º 5 (setembro de 2010): 557–66. http://dx.doi.org/10.1109/tsmcc.2010.2046036.
Texto completo da fonteMa, Yue, Guoqing Chen e Qiang Wei. "Finding users preferences from large-scale online reviews for personalized recommendation". Electronic Commerce Research 17, n.º 1 (8 de outubro de 2016): 3–29. http://dx.doi.org/10.1007/s10660-016-9240-9.
Texto completo da fonteShen, Lijuan, e Liping Jiang. "Eliminating bias: enhancing children’s book recommendation using a hybrid model of graph convolutional networks and neural matrix factorization". PeerJ Computer Science 10 (29 de fevereiro de 2024): e1858. http://dx.doi.org/10.7717/peerj-cs.1858.
Texto completo da fonteSun, Juan. "Personalized Music Recommendation Algorithm Based on Spark Platform". Computational Intelligence and Neuroscience 2022 (17 de fevereiro de 2022): 1–9. http://dx.doi.org/10.1155/2022/7157075.
Texto completo da fonteShin, Kyuyong, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong, Jung-Woo Ha e Kyung-Min Kim. "Scaling Law for Recommendation Models: Towards General-Purpose User Representations". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 4 (26 de junho de 2023): 4596–604. http://dx.doi.org/10.1609/aaai.v37i4.25582.
Texto completo da fonteNoei, Ehsan, Tsahi Hayat, Jessica Perrie, Recep Çolak, Yanqi Hao, Shankar Vembu, Kelly Lyons e Sam Molyneux. "A qualitative study of large-scale recommendation algorithms for biomedical knowledge bases". International Journal on Digital Libraries 22, n.º 2 (19 de abril de 2021): 197–215. http://dx.doi.org/10.1007/s00799-021-00300-3.
Texto completo da fonteKanavos, Andreas, Stavros Iakovou, Spyros Sioutas e Vassilis Tampakas. "Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis". Big Data and Cognitive Computing 2, n.º 2 (9 de maio de 2018): 11. http://dx.doi.org/10.3390/bdcc2020011.
Texto completo da fonteJianping Fan, D. A. Keim, Yuli Gao, Hangzai Luo e Zongmin Li. "JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr Images". IEEE Transactions on Circuits and Systems for Video Technology 19, n.º 2 (fevereiro de 2009): 273–88. http://dx.doi.org/10.1109/tcsvt.2008.2009258.
Texto completo da fonteKashef, Rasha. "Enhancing the Role of Large-Scale Recommendation Systems in the IoT Context". IEEE Access 8 (2020): 178248–57. http://dx.doi.org/10.1109/access.2020.3026310.
Texto completo da fonteChou, Szu-Yu, Jyh-Shing Roger Jang e Yi-Hsuan Yang. "Fast Tensor Factorization for Large-Scale Context-Aware Recommendation from Implicit Feedback". IEEE Transactions on Big Data 6, n.º 1 (1 de março de 2020): 201–8. http://dx.doi.org/10.1109/tbdata.2018.2889121.
Texto completo da fonteCoward, L. Andrew. "The recommendation architecture: lessons from large-scale electronic systems applied to cognition". Cognitive Systems Research 2, n.º 2 (maio de 2001): 111–56. http://dx.doi.org/10.1016/s1389-0417(01)00024-9.
Texto completo da fonteLi, Chaoyi, e Yangsen Zhang. "A personalized recommendation algorithm based on large-scale real micro-blog data". Neural Computing and Applications 32, n.º 15 (15 de junho de 2020): 11245–52. http://dx.doi.org/10.1007/s00521-020-05042-y.
Texto completo da fonteZhang, Hailin, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang e Bin Cui. "CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models". Proceedings of the ACM on Management of Data 2, n.º 1 (12 de março de 2024): 1–28. http://dx.doi.org/10.1145/3639306.
Texto completo da fonteLesner, Christopher, Alexander Ran, Marko Rukonic e Wei Wang. "Large Scale Personalized Categorization of Financial Transactions". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 9365–72. http://dx.doi.org/10.1609/aaai.v33i01.33019365.
Texto completo da fonteYang, Haini. "Application Analysis of English Personalized Learning Based on Large-scale Open Network Courses". Scalable Computing: Practice and Experience 25, n.º 1 (4 de janeiro de 2024): 355–68. http://dx.doi.org/10.12694/scpe.v25i1.2300.
Texto completo da fonteZhu, Jianke, Hao Ma, Chun Chen e Jiajun Bu. "Social Recommendation Using Low-Rank Semidefinite Program". Proceedings of the AAAI Conference on Artificial Intelligence 25, n.º 1 (4 de agosto de 2011): 158–63. http://dx.doi.org/10.1609/aaai.v25i1.7837.
Texto completo da fonteLesner, Christopher, Alexander Ran, Marko Rukonic e Wei Wang. "Large Scale Personalized Categorization of Financial Transactions". AI Magazine 41, n.º 3 (14 de setembro de 2020): 63–77. http://dx.doi.org/10.1609/aimag.v41i3.5319.
Texto completo da fonteLi, Chen, Annisa Annisa, Asif Zaman, Mahboob Qaosar, Saleh Ahmed e Yasuhiko Morimoto. "MapReduce Algorithm for Location Recommendation by Using Area Skyline Query". Algorithms 11, n.º 12 (25 de novembro de 2018): 191. http://dx.doi.org/10.3390/a11120191.
Texto completo da fonteLuo, Ning, e Linlin Zhang. "Smart ULT Management for Ultra-Large-Scale Software". International Journal of Software Engineering & Applications 13, n.º 4 (31 de julho de 2022): 15–22. http://dx.doi.org/10.5121/ijsea.2022.13402.
Texto completo da fonteYochum, Phatpicha, Liang Chang, Tianlong Gu e Manli Zhu. "Learning Sentiment over Network Embedding for Recommendation System". International Journal of Machine Learning and Computing 11, n.º 1 (janeiro de 2021): 12–20. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1008.
Texto completo da fonteZhou, Xiaokang, Wei Liang, Suzhen Huang e Miao Fu. "Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service". IEEE Transactions on Computational Social Systems 6, n.º 5 (outubro de 2019): 1073–82. http://dx.doi.org/10.1109/tcss.2019.2932288.
Texto completo da fonteZhang, Weina, Xingming Zhang, Haoxiang Wang e Dongpei Chen. "A deep variational matrix factorization method for recommendation on large scale sparse dataset". Neurocomputing 334 (março de 2019): 206–18. http://dx.doi.org/10.1016/j.neucom.2019.01.028.
Texto completo da fonteNie, Na. "Research on Personalized Recommendation Algorithm of Internet Platform Goods Based on Knowledge Graph". Highlights in Science, Engineering and Technology 56 (14 de julho de 2023): 415–22. http://dx.doi.org/10.54097/hset.v56i.10704.
Texto completo da fonteKalloubi, Fahd, El Habib Nfaoui e Omar El Beqqali. "Harnessing Semantic Features for Large-Scale Content-Based Hashtag Recommendations on Microblogging Platforms". International Journal on Semantic Web and Information Systems 13, n.º 1 (janeiro de 2017): 63–81. http://dx.doi.org/10.4018/ijswis.2017010105.
Texto completo da fonteBhaskaran, S., Raja Marappan e B. Santhi. "Design and Comparative Analysis of New Personalized Recommender Algorithms with Specific Features for Large Scale Datasets". Mathematics 8, n.º 7 (6 de julho de 2020): 1106. http://dx.doi.org/10.3390/math8071106.
Texto completo da fonteShi, Chenxi, Penghao Liang, Yichao Wu, Tong Zhan e Zhengyu Jin. "Maximizing user experience with LLMOps-driven personalized recommendation systems". Applied and Computational Engineering 64, n.º 1 (15 de maio de 2024): 102–8. http://dx.doi.org/10.54254/2755-2721/64/20241353.
Texto completo da fonteWan, Xiangpeng, Hakim Ghazzai e Yehia Massoud. "A Generic Data-Driven Recommendation System for Large-Scale Regular and Ride-Hailing Taxi Services". Electronics 9, n.º 4 (15 de abril de 2020): 648. http://dx.doi.org/10.3390/electronics9040648.
Texto completo da fonteZhang, Daqiang, Ching-Hsien Hsu, Min Chen, Quan Chen, Naixue Xiong e Jaime Lloret. "Cold-Start Recommendation Using Bi-Clustering and Fusion for Large-Scale Social Recommender Systems". IEEE Transactions on Emerging Topics in Computing 2, n.º 2 (junho de 2014): 239–50. http://dx.doi.org/10.1109/tetc.2013.2283233.
Texto completo da fonteCorbellini, Alejandro, Cristian Mateos, Daniela Godoy, Alejandro Zunino e Silvia Schiaffino. "An architecture and platform for developing distributed recommendation algorithms on large-scale social networks". Journal of Information Science 41, n.º 5 (8 de junho de 2015): 686–704. http://dx.doi.org/10.1177/0165551515588669.
Texto completo da fonteHe, Chaobo, Hanchao Li, Xiang Fei, Atiao Yang, Yong Tang e Jia Zhu. "A topic community-based method for friend recommendation in large-scale online social networks". Concurrency and Computation: Practice and Experience 29, n.º 6 (21 de julho de 2016): e3924. http://dx.doi.org/10.1002/cpe.3924.
Texto completo da fonteShao, Shiyun, Yunni Xia, Kaifeng Bai e Xiaoxin Zhou. "A Quasi-Newton Matrix Factorization-Based Model for Recommendation". International Journal of Web Services Research 20, n.º 1 (11 de dezembro de 2023): 1–15. http://dx.doi.org/10.4018/ijwsr.334703.
Texto completo da fonteLi, Yuxin, Jingyi Wang, Xinyang Wu, Rui Zhou e Baichuan Xu. "Contrastive representation learning in recommendation systems--The investigation of the performance of the self-supervised learning in large-scale recommendation systems". Theoretical and Natural Science 19, n.º 1 (8 de dezembro de 2023): 257–64. http://dx.doi.org/10.54254/2753-8818/19/20230568.
Texto completo da fonteZheng, Kai, Xianjun Yang, Yilei Wang, Yingjie Wu e Xianghan Zheng. "Collaborative filtering recommendation algorithm based on variational inference". International Journal of Crowd Science 4, n.º 1 (31 de janeiro de 2020): 31–44. http://dx.doi.org/10.1108/ijcs-10-2019-0030.
Texto completo da fonteKim, JaeWon, JeongA Wi, SooJin Jang e YoungBin Kim. "Sequential Recommendations on Board-Game Platforms". Symmetry 12, n.º 2 (2 de fevereiro de 2020): 210. http://dx.doi.org/10.3390/sym12020210.
Texto completo da fontePedersen, Rasmus Rex. "Datafication and the push for ubiquitous listening in music streaming". MedieKultur: Journal of media and communication research 36, n.º 69 (11 de dezembro de 2020): 071–89. http://dx.doi.org/10.7146/mediekultur.v36i69.121216.
Texto completo da fonteLiu, Hao, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu e Hui Xiong. "Multi-modal transportation recommendation with unified route representation learning". Proceedings of the VLDB Endowment 14, n.º 3 (novembro de 2020): 342–50. http://dx.doi.org/10.14778/3430915.3430924.
Texto completo da fonteZhang, Hailin, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang e Bin Cui. "Experimental Analysis of Large-Scale Learnable Vector Storage Compression". Proceedings of the VLDB Endowment 17, n.º 4 (dezembro de 2023): 808–22. http://dx.doi.org/10.14778/3636218.3636234.
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