Artykuły w czasopismach na temat „Large Scale Recommendation”
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Laddha, Abhishek, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa i Ankur Narang. "Large Scale Multilingual Sticker Recommendation In Messaging Apps". AI Magazine 42, nr 4 (12.01.2022): 16–28. http://dx.doi.org/10.1609/aimag.v42i4.15098.
Pełny tekst źródłaZhou, Wang, Yongluan Zhou, Jianping Li i Muhammad Hammad Memon. "LsRec: Large-scale social recommendation with online update". Expert Systems with Applications 162 (grudzień 2020): 113739. http://dx.doi.org/10.1016/j.eswa.2020.113739.
Pełny tekst źródłaSakhi, Otmane, David Rohde i Alexandre Gilotte. "Fast Offline Policy Optimization for Large Scale Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 8 (26.06.2023): 9686–94. http://dx.doi.org/10.1609/aaai.v37i8.26158.
Pełny tekst źródłaLaddha, Abhishek, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa i Ankur Narang. "Large Scale Multilingual Sticker Recommendation In Messaging Apps". AI Magazine 42, nr 4 (18.01.2022): 16–28. http://dx.doi.org/10.1609/aaai.12023.
Pełny tekst źródłaLiu, Yang, Cheng Lyu, Zhiyuan Liu i Jinde Cao. "Exploring a large-scale multi-modal transportation recommendation system". Transportation Research Part C: Emerging Technologies 126 (maj 2021): 103070. http://dx.doi.org/10.1016/j.trc.2021.103070.
Pełny tekst źródłaE, HaiHong, JianFeng WANG, MeiNa SONG, Qiang BI i 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.
Pełny tekst źródłaChen, Haokun, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang i Yong Yu. "Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17.07.2019): 3312–20. http://dx.doi.org/10.1609/aaai.v33i01.33013312.
Pełny tekst źródłaHASHIMOTO, T. "Recommendation for Large Scale Intervention Study on Industrial Population". Sangyo Igaku 34, nr 4 (1992): 309. http://dx.doi.org/10.1539/joh1959.34.309.
Pełny tekst źródłaKhan, Muhammad Usman Shahid, Osman Khalid, Ying Huang, Rajiv Ranjan, Fan Zhang, Junwei Cao, Bharadwaj Veeravalli, Samee U. Khan, Keqin Li i Albert Y. Zomaya. "MacroServ: A Route Recommendation Service for Large-Scale Evacuations". IEEE Transactions on Services Computing 10, nr 4 (1.07.2017): 589–602. http://dx.doi.org/10.1109/tsc.2015.2497241.
Pełny tekst źródłaBathla, Gourav, Himanshu Aggarwal i Rinkle Rani. "Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph". International Journal of Cognitive Informatics and Natural Intelligence 14, nr 4 (październik 2020): 42–61. http://dx.doi.org/10.4018/ijcini.2020100103.
Pełny tekst źródłaXu, Ruzhi, Shuaiqiang Wang, Xuwei Zheng i Yinong Chen. "Distributed collaborative filtering with singular ratings for large scale recommendation". Journal of Systems and Software 95 (wrzesień 2014): 231–41. http://dx.doi.org/10.1016/j.jss.2014.04.045.
Pełny tekst źródłaHu, Long, Kai Lin, Mohammad Mehedi Hassan, Atif Alamri i Abdulhameed Alelaiwi. "CFSF: On Cloud-Based Recommendation for Large-Scale E-commerce". Mobile Networks and Applications 20, nr 3 (30.01.2015): 380–90. http://dx.doi.org/10.1007/s11036-014-0560-5.
Pełny tekst źródłaSchall, Daniel. "Who to follow recommendation in large-scale online development communities". Information and Software Technology 56, nr 12 (grudzień 2014): 1543–55. http://dx.doi.org/10.1016/j.infsof.2013.12.003.
Pełny tekst źródłaSang Hyun Choi, Young-Seon Jeong i 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, nr 5 (wrzesień 2010): 557–66. http://dx.doi.org/10.1109/tsmcc.2010.2046036.
Pełny tekst źródłaMa, Yue, Guoqing Chen i Qiang Wei. "Finding users preferences from large-scale online reviews for personalized recommendation". Electronic Commerce Research 17, nr 1 (8.10.2016): 3–29. http://dx.doi.org/10.1007/s10660-016-9240-9.
Pełny tekst źródłaShen, Lijuan, i 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 (29.02.2024): e1858. http://dx.doi.org/10.7717/peerj-cs.1858.
Pełny tekst źródłaSun, Juan. "Personalized Music Recommendation Algorithm Based on Spark Platform". Computational Intelligence and Neuroscience 2022 (17.02.2022): 1–9. http://dx.doi.org/10.1155/2022/7157075.
Pełny tekst źródłaShin, Kyuyong, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong, Jung-Woo Ha i Kyung-Min Kim. "Scaling Law for Recommendation Models: Towards General-Purpose User Representations". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 4 (26.06.2023): 4596–604. http://dx.doi.org/10.1609/aaai.v37i4.25582.
Pełny tekst źródłaNoei, Ehsan, Tsahi Hayat, Jessica Perrie, Recep Çolak, Yanqi Hao, Shankar Vembu, Kelly Lyons i Sam Molyneux. "A qualitative study of large-scale recommendation algorithms for biomedical knowledge bases". International Journal on Digital Libraries 22, nr 2 (19.04.2021): 197–215. http://dx.doi.org/10.1007/s00799-021-00300-3.
Pełny tekst źródłaKanavos, Andreas, Stavros Iakovou, Spyros Sioutas i Vassilis Tampakas. "Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis". Big Data and Cognitive Computing 2, nr 2 (9.05.2018): 11. http://dx.doi.org/10.3390/bdcc2020011.
Pełny tekst źródłaJianping Fan, D. A. Keim, Yuli Gao, Hangzai Luo i Zongmin Li. "JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr Images". IEEE Transactions on Circuits and Systems for Video Technology 19, nr 2 (luty 2009): 273–88. http://dx.doi.org/10.1109/tcsvt.2008.2009258.
Pełny tekst źródłaKashef, 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.
Pełny tekst źródłaChou, Szu-Yu, Jyh-Shing Roger Jang i Yi-Hsuan Yang. "Fast Tensor Factorization for Large-Scale Context-Aware Recommendation from Implicit Feedback". IEEE Transactions on Big Data 6, nr 1 (1.03.2020): 201–8. http://dx.doi.org/10.1109/tbdata.2018.2889121.
Pełny tekst źródłaCoward, L. Andrew. "The recommendation architecture: lessons from large-scale electronic systems applied to cognition". Cognitive Systems Research 2, nr 2 (maj 2001): 111–56. http://dx.doi.org/10.1016/s1389-0417(01)00024-9.
Pełny tekst źródłaLi, Chaoyi, i Yangsen Zhang. "A personalized recommendation algorithm based on large-scale real micro-blog data". Neural Computing and Applications 32, nr 15 (15.06.2020): 11245–52. http://dx.doi.org/10.1007/s00521-020-05042-y.
Pełny tekst źródłaZhang, Hailin, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang i Bin Cui. "CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models". Proceedings of the ACM on Management of Data 2, nr 1 (12.03.2024): 1–28. http://dx.doi.org/10.1145/3639306.
Pełny tekst źródłaLesner, Christopher, Alexander Ran, Marko Rukonic i Wei Wang. "Large Scale Personalized Categorization of Financial Transactions". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17.07.2019): 9365–72. http://dx.doi.org/10.1609/aaai.v33i01.33019365.
Pełny tekst źródłaYang, Haini. "Application Analysis of English Personalized Learning Based on Large-scale Open Network Courses". Scalable Computing: Practice and Experience 25, nr 1 (4.01.2024): 355–68. http://dx.doi.org/10.12694/scpe.v25i1.2300.
Pełny tekst źródłaZhu, Jianke, Hao Ma, Chun Chen i Jiajun Bu. "Social Recommendation Using Low-Rank Semidefinite Program". Proceedings of the AAAI Conference on Artificial Intelligence 25, nr 1 (4.08.2011): 158–63. http://dx.doi.org/10.1609/aaai.v25i1.7837.
Pełny tekst źródłaLesner, Christopher, Alexander Ran, Marko Rukonic i Wei Wang. "Large Scale Personalized Categorization of Financial Transactions". AI Magazine 41, nr 3 (14.09.2020): 63–77. http://dx.doi.org/10.1609/aimag.v41i3.5319.
Pełny tekst źródłaLi, Chen, Annisa Annisa, Asif Zaman, Mahboob Qaosar, Saleh Ahmed i Yasuhiko Morimoto. "MapReduce Algorithm for Location Recommendation by Using Area Skyline Query". Algorithms 11, nr 12 (25.11.2018): 191. http://dx.doi.org/10.3390/a11120191.
Pełny tekst źródłaLuo, Ning, i Linlin Zhang. "Smart ULT Management for Ultra-Large-Scale Software". International Journal of Software Engineering & Applications 13, nr 4 (31.07.2022): 15–22. http://dx.doi.org/10.5121/ijsea.2022.13402.
Pełny tekst źródłaYochum, Phatpicha, Liang Chang, Tianlong Gu i Manli Zhu. "Learning Sentiment over Network Embedding for Recommendation System". International Journal of Machine Learning and Computing 11, nr 1 (styczeń 2021): 12–20. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1008.
Pełny tekst źródłaZhou, Xiaokang, Wei Liang, Suzhen Huang i Miao Fu. "Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service". IEEE Transactions on Computational Social Systems 6, nr 5 (październik 2019): 1073–82. http://dx.doi.org/10.1109/tcss.2019.2932288.
Pełny tekst źródłaZhang, Weina, Xingming Zhang, Haoxiang Wang i Dongpei Chen. "A deep variational matrix factorization method for recommendation on large scale sparse dataset". Neurocomputing 334 (marzec 2019): 206–18. http://dx.doi.org/10.1016/j.neucom.2019.01.028.
Pełny tekst źródłaNie, Na. "Research on Personalized Recommendation Algorithm of Internet Platform Goods Based on Knowledge Graph". Highlights in Science, Engineering and Technology 56 (14.07.2023): 415–22. http://dx.doi.org/10.54097/hset.v56i.10704.
Pełny tekst źródłaKalloubi, Fahd, El Habib Nfaoui i 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, nr 1 (styczeń 2017): 63–81. http://dx.doi.org/10.4018/ijswis.2017010105.
Pełny tekst źródłaBhaskaran, S., Raja Marappan i B. Santhi. "Design and Comparative Analysis of New Personalized Recommender Algorithms with Specific Features for Large Scale Datasets". Mathematics 8, nr 7 (6.07.2020): 1106. http://dx.doi.org/10.3390/math8071106.
Pełny tekst źródłaShi, Chenxi, Penghao Liang, Yichao Wu, Tong Zhan i Zhengyu Jin. "Maximizing user experience with LLMOps-driven personalized recommendation systems". Applied and Computational Engineering 64, nr 1 (15.05.2024): 102–8. http://dx.doi.org/10.54254/2755-2721/64/20241353.
Pełny tekst źródłaWan, Xiangpeng, Hakim Ghazzai i Yehia Massoud. "A Generic Data-Driven Recommendation System for Large-Scale Regular and Ride-Hailing Taxi Services". Electronics 9, nr 4 (15.04.2020): 648. http://dx.doi.org/10.3390/electronics9040648.
Pełny tekst źródłaZhang, Daqiang, Ching-Hsien Hsu, Min Chen, Quan Chen, Naixue Xiong i Jaime Lloret. "Cold-Start Recommendation Using Bi-Clustering and Fusion for Large-Scale Social Recommender Systems". IEEE Transactions on Emerging Topics in Computing 2, nr 2 (czerwiec 2014): 239–50. http://dx.doi.org/10.1109/tetc.2013.2283233.
Pełny tekst źródłaCorbellini, Alejandro, Cristian Mateos, Daniela Godoy, Alejandro Zunino i Silvia Schiaffino. "An architecture and platform for developing distributed recommendation algorithms on large-scale social networks". Journal of Information Science 41, nr 5 (8.06.2015): 686–704. http://dx.doi.org/10.1177/0165551515588669.
Pełny tekst źródłaHe, Chaobo, Hanchao Li, Xiang Fei, Atiao Yang, Yong Tang i Jia Zhu. "A topic community-based method for friend recommendation in large-scale online social networks". Concurrency and Computation: Practice and Experience 29, nr 6 (21.07.2016): e3924. http://dx.doi.org/10.1002/cpe.3924.
Pełny tekst źródłaShao, Shiyun, Yunni Xia, Kaifeng Bai i Xiaoxin Zhou. "A Quasi-Newton Matrix Factorization-Based Model for Recommendation". International Journal of Web Services Research 20, nr 1 (11.12.2023): 1–15. http://dx.doi.org/10.4018/ijwsr.334703.
Pełny tekst źródłaLi, Yuxin, Jingyi Wang, Xinyang Wu, Rui Zhou i 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, nr 1 (8.12.2023): 257–64. http://dx.doi.org/10.54254/2753-8818/19/20230568.
Pełny tekst źródłaZheng, Kai, Xianjun Yang, Yilei Wang, Yingjie Wu i Xianghan Zheng. "Collaborative filtering recommendation algorithm based on variational inference". International Journal of Crowd Science 4, nr 1 (31.01.2020): 31–44. http://dx.doi.org/10.1108/ijcs-10-2019-0030.
Pełny tekst źródłaKim, JaeWon, JeongA Wi, SooJin Jang i YoungBin Kim. "Sequential Recommendations on Board-Game Platforms". Symmetry 12, nr 2 (2.02.2020): 210. http://dx.doi.org/10.3390/sym12020210.
Pełny tekst źródłaPedersen, Rasmus Rex. "Datafication and the push for ubiquitous listening in music streaming". MedieKultur: Journal of media and communication research 36, nr 69 (11.12.2020): 071–89. http://dx.doi.org/10.7146/mediekultur.v36i69.121216.
Pełny tekst źródłaLiu, Hao, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu i Hui Xiong. "Multi-modal transportation recommendation with unified route representation learning". Proceedings of the VLDB Endowment 14, nr 3 (listopad 2020): 342–50. http://dx.doi.org/10.14778/3430915.3430924.
Pełny tekst źródłaZhang, Hailin, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang i Bin Cui. "Experimental Analysis of Large-Scale Learnable Vector Storage Compression". Proceedings of the VLDB Endowment 17, nr 4 (grudzień 2023): 808–22. http://dx.doi.org/10.14778/3636218.3636234.
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