Journal articles on the topic 'Large Scale Recommendation'
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Laddha, Abhishek, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa, and Ankur Narang. "Large Scale Multilingual Sticker Recommendation In Messaging Apps." AI Magazine 42, no. 4 (2022): 16–28. http://dx.doi.org/10.1609/aimag.v42i4.15098.
Full textZhou, Wang, Yongluan Zhou, Jianping Li, and Muhammad Hammad Memon. "LsRec: Large-scale social recommendation with online update." Expert Systems with Applications 162 (December 2020): 113739. http://dx.doi.org/10.1016/j.eswa.2020.113739.
Full textSakhi, Otmane, David Rohde, and Alexandre Gilotte. "Fast Offline Policy Optimization for Large Scale Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9686–94. http://dx.doi.org/10.1609/aaai.v37i8.26158.
Full textLaddha, Abhishek, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa, and Ankur Narang. "Large Scale Multilingual Sticker Recommendation In Messaging Apps." AI Magazine 42, no. 4 (2022): 16–28. http://dx.doi.org/10.1609/aaai.12023.
Full textChen, Haokun, Xinyi Dai, Han Cai, et al. "Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3312–20. http://dx.doi.org/10.1609/aaai.v33i01.33013312.
Full textLiu, Yang, Cheng Lyu, Zhiyuan Liu, and Jinde Cao. "Exploring a large-scale multi-modal transportation recommendation system." Transportation Research Part C: Emerging Technologies 126 (May 2021): 103070. http://dx.doi.org/10.1016/j.trc.2021.103070.
Full textE, HaiHong, JianFeng WANG, MeiNa SONG, Qiang BI, and 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.
Full textHASHIMOTO, T. "Recommendation for Large Scale Intervention Study on Industrial Population." Sangyo Igaku 34, no. 4 (1992): 309. http://dx.doi.org/10.1539/joh1959.34.309.
Full textKhan, Muhammad Usman Shahid, Osman Khalid, Ying Huang, et al. "MacroServ: A Route Recommendation Service for Large-Scale Evacuations." IEEE Transactions on Services Computing 10, no. 4 (2017): 589–602. http://dx.doi.org/10.1109/tsc.2015.2497241.
Full textBathla, Gourav, Himanshu Aggarwal, and Rinkle Rani. "Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph." International Journal of Cognitive Informatics and Natural Intelligence 14, no. 4 (2020): 42–61. http://dx.doi.org/10.4018/ijcini.2020100103.
Full textXu, Ruzhi, Shuaiqiang Wang, Xuwei Zheng, and Yinong Chen. "Distributed collaborative filtering with singular ratings for large scale recommendation." Journal of Systems and Software 95 (September 2014): 231–41. http://dx.doi.org/10.1016/j.jss.2014.04.045.
Full textHu, Long, Kai Lin, Mohammad Mehedi Hassan, Atif Alamri, and Abdulhameed Alelaiwi. "CFSF: On Cloud-Based Recommendation for Large-Scale E-commerce." Mobile Networks and Applications 20, no. 3 (2015): 380–90. http://dx.doi.org/10.1007/s11036-014-0560-5.
Full textSchall, Daniel. "Who to follow recommendation in large-scale online development communities." Information and Software Technology 56, no. 12 (2014): 1543–55. http://dx.doi.org/10.1016/j.infsof.2013.12.003.
Full textBharath, Bhushan Yannam. "EFFECTIVE RECOMMENDATION CHAINS FOR LARGE SCALE DISTRIBUTED DECENTRALIZED P2P SYSTEMS." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 09 (2013): 300–306. https://doi.org/10.5281/zenodo.14613399.
Full textSang Hyun Choi, Young-Seon Jeong, and 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, no. 5 (2010): 557–66. http://dx.doi.org/10.1109/tsmcc.2010.2046036.
Full textTrinh, Trang, Van-Ho Nguyen, Nghia Nguyen, and Duy-Nghia Nguyen. "Product collaborative filtering based recommendation systems for large-scale E-commerce." International Journal of Information Management Data Insights 5, no. 1 (2025): 100322. https://doi.org/10.1016/j.jjimei.2025.100322.
Full textMa, Yue, Guoqing Chen, and Qiang Wei. "Finding users preferences from large-scale online reviews for personalized recommendation." Electronic Commerce Research 17, no. 1 (2016): 3–29. http://dx.doi.org/10.1007/s10660-016-9240-9.
Full textDu, Changyu, Zihan Deng, Stavros Nousias, and André Borrmann. "Predictive modeling: BIM command recommendation based on large-scale usage logs." Advanced Engineering Informatics 68 (November 2025): 103574. https://doi.org/10.1016/j.aei.2025.103574.
Full textShin, Kyuyong, Hanock Kwak, Su Young Kim, et al. "Scaling Law for Recommendation Models: Towards General-Purpose User Representations." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (2023): 4596–604. http://dx.doi.org/10.1609/aaai.v37i4.25582.
Full textShen, Lijuan, and 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 (February 29, 2024): e1858. http://dx.doi.org/10.7717/peerj-cs.1858.
Full textChaitanya., G., Y. Hemanth., K. Koushik., P. Haneef., and Pranav.S. "Movie Recomondation System using Machine Learning and Spark." International Journal of Innovative Science and Research Technology (IJISRT) 8, no. 6 (2024): 6. https://doi.org/10.5281/zenodo.10686713.
Full textSun, Juan. "Personalized Music Recommendation Algorithm Based on Spark Platform." Computational Intelligence and Neuroscience 2022 (February 17, 2022): 1–9. http://dx.doi.org/10.1155/2022/7157075.
Full textLulla, Karan. "Designing Fault-Tolerant Test Infrastructure for Large-Scale GPU Manufacturing." International journal of signal processing, embedded systems and VLSI design 5, no. 1 (2025): 35–61. https://doi.org/10.55640/ijvsli-05-01-04.
Full textShi, Jiatu, Fu Shang, Shuwen Zhou, Xu Zhang, and Gang Ping. "Applications of Quantum Machine Learning in Large-Scale E-commerce Recommendation Systems: Enhancing Efficiency and Accuracy." Journal of Industrial Engineering and Applied Science 2, no. 4 (2024): 90–103. https://doi.org/10.5281/zenodo.13117899.
Full textZhu, Jianke, Hao Ma, Chun Chen, and Jiajun Bu. "Social Recommendation Using Low-Rank Semidefinite Program." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 158–63. http://dx.doi.org/10.1609/aaai.v25i1.7837.
Full textNoei, Ehsan, Tsahi Hayat, Jessica Perrie, et al. "A qualitative study of large-scale recommendation algorithms for biomedical knowledge bases." International Journal on Digital Libraries 22, no. 2 (2021): 197–215. http://dx.doi.org/10.1007/s00799-021-00300-3.
Full textKanavos, Andreas, Stavros Iakovou, Spyros Sioutas, and Vassilis Tampakas. "Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis." Big Data and Cognitive Computing 2, no. 2 (2018): 11. http://dx.doi.org/10.3390/bdcc2020011.
Full textJianping Fan, D. A. Keim, Yuli Gao, Hangzai Luo, and Zongmin Li. "JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr Images." IEEE Transactions on Circuits and Systems for Video Technology 19, no. 2 (2009): 273–88. http://dx.doi.org/10.1109/tcsvt.2008.2009258.
Full textKashef, 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.
Full textChou, Szu-Yu, Jyh-Shing Roger Jang, and Yi-Hsuan Yang. "Fast Tensor Factorization for Large-Scale Context-Aware Recommendation from Implicit Feedback." IEEE Transactions on Big Data 6, no. 1 (2020): 201–8. http://dx.doi.org/10.1109/tbdata.2018.2889121.
Full textCoward, L. Andrew. "The recommendation architecture: lessons from large-scale electronic systems applied to cognition." Cognitive Systems Research 2, no. 2 (2001): 111–56. http://dx.doi.org/10.1016/s1389-0417(01)00024-9.
Full textLi, Chaoyi, and Yangsen Zhang. "A personalized recommendation algorithm based on large-scale real micro-blog data." Neural Computing and Applications 32, no. 15 (2020): 11245–52. http://dx.doi.org/10.1007/s00521-020-05042-y.
Full textZhang, Hailin, Zirui Liu, Boxuan Chen, et al. "CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models." Proceedings of the ACM on Management of Data 2, no. 1 (2024): 1–28. http://dx.doi.org/10.1145/3639306.
Full textPark, Min-Soo, Dong-Yeong Lee, Jae-Soo Yoo, and Do-Jin Choi. "Context-learning based Academic Reference Recommendation System using Large-scale Academic Datasets." JOURNAL OF THE KOREA CONTENTS ASSOCIATION 25, no. 3 (2025): 50–61. https://doi.org/10.5392/jkca.2025.25.03.050.
Full textYang, Haini. "Application Analysis of English Personalized Learning Based on Large-scale Open Network Courses." Scalable Computing: Practice and Experience 25, no. 1 (2024): 355–68. http://dx.doi.org/10.12694/scpe.v25i1.2300.
Full textLesner, Christopher, Alexander Ran, Marko Rukonic, and Wei Wang. "Large Scale Personalized Categorization of Financial Transactions." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9365–72. http://dx.doi.org/10.1609/aaai.v33i01.33019365.
Full textLi, Chen, Annisa Annisa, Asif Zaman, Mahboob Qaosar, Saleh Ahmed, and Yasuhiko Morimoto. "MapReduce Algorithm for Location Recommendation by Using Area Skyline Query." Algorithms 11, no. 12 (2018): 191. http://dx.doi.org/10.3390/a11120191.
Full textLesner, Christopher, Alexander Ran, Marko Rukonic, and Wei Wang. "Large Scale Personalized Categorization of Financial Transactions." AI Magazine 41, no. 3 (2020): 63–77. http://dx.doi.org/10.1609/aimag.v41i3.5319.
Full textLuo, Ning, and Linlin Zhang. "Smart ULT Management for Ultra-Large-Scale Software." International Journal of Software Engineering & Applications 13, no. 4 (2022): 15–22. http://dx.doi.org/10.5121/ijsea.2022.13402.
Full textNing, Luo, and Zhang Linlin. "Smart ULT Management for Ultra-Large-Scale Software." International Journal of Software Engineering & Applications (IJSEA) 13, no. 4 (2022): 15–22. https://doi.org/10.5281/zenodo.7119008.
Full textNing, Luo. "Smart ULT Management for Ultra-Large-Scale Software." International Journal of Software Engineering & Applications (IJSEA) 13, no. 4 (2023): 15–22. https://doi.org/10.5281/zenodo.8296947.
Full textYochum, Phatpicha, Liang Chang, Tianlong Gu, and Manli Zhu. "Learning Sentiment over Network Embedding for Recommendation System." International Journal of Machine Learning and Computing 11, no. 1 (2021): 12–20. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1008.
Full textZhou, Xiaokang, Wei Liang, Suzhen Huang, and Miao Fu. "Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service." IEEE Transactions on Computational Social Systems 6, no. 5 (2019): 1073–82. http://dx.doi.org/10.1109/tcss.2019.2932288.
Full textZhang, Weina, Xingming Zhang, Haoxiang Wang, and Dongpei Chen. "A deep variational matrix factorization method for recommendation on large scale sparse dataset." Neurocomputing 334 (March 2019): 206–18. http://dx.doi.org/10.1016/j.neucom.2019.01.028.
Full textNie, Na. "Research on Personalized Recommendation Algorithm of Internet Platform Goods Based on Knowledge Graph." Highlights in Science, Engineering and Technology 56 (July 14, 2023): 415–22. http://dx.doi.org/10.54097/hset.v56i.10704.
Full textBhaskaran, S., Raja Marappan, and B. Santhi. "Design and Comparative Analysis of New Personalized Recommender Algorithms with Specific Features for Large Scale Datasets." Mathematics 8, no. 7 (2020): 1106. http://dx.doi.org/10.3390/math8071106.
Full textQiao, Yu, Kaixian Xu, and Alan Wilson. "Real-Time Personalized Ad Recommendation Based on User Behavioral Analysis." Artificial Intelligence Advances 7, no. 1 (2025): 10–21. https://doi.org/10.30564/aia.v7i1.9761.
Full textShi, Chenxi, Penghao Liang, Yichao Wu, Tong Zhan, and Zhengyu Jin. "Maximizing user experience with LLMOps-driven personalized recommendation systems." Applied and Computational Engineering 64, no. 1 (2024): 102–8. http://dx.doi.org/10.54254/2755-2721/64/20241353.
Full textKalloubi, Fahd, El Habib Nfaoui, and 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, no. 1 (2017): 63–81. http://dx.doi.org/10.4018/ijswis.2017010105.
Full textWan, Xiangpeng, Hakim Ghazzai, and Yehia Massoud. "A Generic Data-Driven Recommendation System for Large-Scale Regular and Ride-Hailing Taxi Services." Electronics 9, no. 4 (2020): 648. http://dx.doi.org/10.3390/electronics9040648.
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