Literatura académica sobre el tema "Sequence-based recommender"
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Artículos de revistas sobre el tema "Sequence-based recommender"
Monti, Diego, Enrico Palumbo, Giuseppe Rizzo y Maurizio Morisio. "Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems". Information 10, n.º 5 (10 de mayo de 2019): 174. http://dx.doi.org/10.3390/info10050174.
Texto completoShishehchi, Saman, Nor Azan Mat Zin y Esmadi Abu Abu Seman. "Ontology-Based Recommender System for a Learning Sequence in Programming Languages". International Journal of Emerging Technologies in Learning (iJET) 16, n.º 12 (18 de junio de 2021): 123. http://dx.doi.org/10.3991/ijet.v16i12.21451.
Texto completoZhang, Qingsheng, Di Yang, Pengjun Fang, Nannan Liu y Lu Zhang. "Develop Academic Question Recommender Based on Bayesian Network for Personalizing Student’s Practice". International Journal of Emerging Technologies in Learning (iJET) 15, n.º 18 (25 de septiembre de 2020): 4. http://dx.doi.org/10.3991/ijet.v15i18.11594.
Texto completoFang, Hui, Chongcheng Chen, Yunfei Long, Ge Xu y Yongqiang Xiao. "DTCRSKG: A Deep Travel Conversational Recommender System Incorporating Knowledge Graph". Mathematics 10, n.º 9 (22 de abril de 2022): 1402. http://dx.doi.org/10.3390/math10091402.
Texto completoLee, Hea In, Il Young Choi, Hyun Sil Moon y Jae Kyeong Kim. "A Multi-Period Product Recommender System in Online Food Market based on Recurrent Neural Networks". Sustainability 12, n.º 3 (29 de enero de 2020): 969. http://dx.doi.org/10.3390/su12030969.
Texto completoWang, Wei y Longbing Cao. "Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback". ACM Transactions on Information Systems 39, n.º 3 (23 de febrero de 2021): 1–26. http://dx.doi.org/10.1145/3444368.
Texto completoMartínez-López, Francisco J., Irene Esteban-Millat, Ana Argila y Francisco Rejón-Guardia. "Consumers’ psychological outcomes linked to the use of an online store’s recommendation system". Internet Research 25, n.º 4 (3 de agosto de 2015): 562–88. http://dx.doi.org/10.1108/intr-01-2014-0033.
Texto completoGu, Jiqing, Chao Song, Wenjun Jiang, Xiaomin Wang y Ming Liu. "Enhancing Personalized Trip Recommendation with Attractive Routes". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 01 (3 de abril de 2020): 662–69. http://dx.doi.org/10.1609/aaai.v34i01.5407.
Texto completoDELGADO, JOAQUIN y NAOHIRO ISHII. "MULTI-AGENT LEARNING IN RECOMMENDER SYSTEMS FOR INFORMATION FILTERING ON THE INTERNET". International Journal of Cooperative Information Systems 10, n.º 01n02 (marzo de 2001): 81–100. http://dx.doi.org/10.1142/s0218843001000266.
Texto completoWu, Shiwen, Yuanxing Zhang, Chengliang Gao, Kaigui Bian y Bin Cui. "GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network". Data Science and Engineering 5, n.º 4 (29 de julio de 2020): 433–47. http://dx.doi.org/10.1007/s41019-020-00135-z.
Texto completoTesis sobre el tema "Sequence-based recommender"
MONTI, DIEGO MICHELE. "Multicriteria Evaluation for Top-k and Sequence-based Recommender Systems". Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2841172.
Texto completoGodard, Pierre. "RNN-based sequence prediction as an alternative or complement to traditional recommender systems". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216584.
Texto completoDe Recurrent Neural Networks har möjlighet att förstå de tidsmässiga mönstren inom data. Det här är en egenskap som kan användas för att hjälpa ett rekommendatörsystem bättre med hänsyn till användarens historia. Problemet med dimensioner inom rekommendatörsystem uppstår dock även här, eftersom antalet saker som systemet måste vara medveten om är extremt många. Nyare forskning har studerat användningen av sådana neurala nätverk på en användaressessionsnivå. Denna avhandling undersöker snarare användningen av denna teknik som en hel användares tidigare historiknivå i samband med tekniker som inbäddning och softmax-provtagning för att tillgodose den höga dimensionen. Den föreslagna metoden resulterar i en sekvensprediktionsmodell som kan användas som för recommender-uppgiften eller som en funktion inom ett mer komplext system.
Libros sobre el tema "Sequence-based recommender"
Servin, Frédérique S. y Valérie Billard. Anaesthesia for the obese patient. Editado por Philip M. Hopkins. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0087.
Texto completoІрина Дмитрівна, Садов’як. CLINICAL MANAGEMENT OF PATIENTS WITH COVID-19. “LIVE” CLINICAL INSTRUCTION (2021). ДЕРЖАВНА НАУКОВА УСТАНОВА «НАУКОВО-ПРАКТИЧНИЙ ЦЕНТР ПРОФІЛАКТИЧНОЇ І КЛІНІЧНОЇ МЕДИЦИНИ», 2021. http://dx.doi.org/10.31612/covid.
Texto completoCapítulos de libros sobre el tema "Sequence-based recommender"
Wang, Ren y Osmar R. Zaïane. "Sequence-Based Approaches to Course Recommender Systems". En Lecture Notes in Computer Science, 35–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98809-2_3.
Texto completoWong, Chris. "Sequence Based Course Recommender for Personalized Curriculum Planning". En Lecture Notes in Computer Science, 531–34. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93846-2_100.
Texto completoZhou, Yifei y Conor Hayes. "Graph-Based Diffusion Method for Top-N Recommendation". En Communications in Computer and Information Science, 292–304. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_23.
Texto completoZhou, Mingming y Yabo Xu. "Challenges to Use Recommender Systems to Enhance Meta-Cognitive Functioning in Online Learners". En Educational Recommender Systems and Technologies, 282–301. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-489-5.ch012.
Texto completoZhou, Mingming y Yabo Xu. "Challenges to Use Recommender Systems to Enhance Meta-Cognitive Functioning in Online Learners". En Data Mining, 1916–35. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch099.
Texto completoRadwan, Nouran M. y Wael K. Hanna. "An Adaptive eLearning Sequence Based on Neutrosophic Logic". En Handbook of Research on Advances and Applications of Fuzzy Sets and Logic, 619–38. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch028.
Texto completoGolo Barro, Seydou, Adrien Ugon, Nadège R. Nana y Pascal Staccini. "Design and Implementation of a Unique Patient Identification Model in Information Systems in Burkina Faso". En MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. IOS Press, 2022. http://dx.doi.org/10.3233/shti220070.
Texto completoActas de conferencias sobre el tema "Sequence-based recommender"
Demir, Gül Nildem, A. Sima Uyar y Sule Gündüz Ögüdücü. "Graph-based sequence clustering through multiobjective evolutionary algorithms for web recommender systems". En the 9th annual conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1276958.1277346.
Texto completoGurbanov, Tural y Francesco Ricci. "Action prediction models for recommender systems based on collaborative filtering and sequence mining hybridization". En SAC 2017: Symposium on Applied Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3019612.3019759.
Texto completoLi, Yang, Tong Chen, Yadan Luo, Hongzhi Yin y Zi Huang. "Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/206.
Texto completoHu, Liang, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao y Zhiping Gu. "Diversifying Personalized Recommendation with User-session Context". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/258.
Texto completoLi, Muyang, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu y Ruocheng Guo. "MLP4Rec: A Pure MLP Architecture for Sequential Recommendations". En Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/297.
Texto completoCai, Chenwei, Ruining He y Julian McAuley. "SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/204.
Texto completoHuang, Xiaoping, Xiaoshun Yan, Muk Chen Ong y Yingcai Huang. "The Effect of Fatigue Loading Spectrum on Crack Propagation in a Ship Detail". En ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77152.
Texto completoDiemunsch, Kenneth. "CBTC Field Test and Commissioning". En 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5614.
Texto completoDi Blasi, Marti´n, Gustavo Felici, Walter Ramponi y Juan Czarnowski. "Design of Contingency Plans for Pipeline Leakage Using Hydraulic Simulation". En 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10214.
Texto completoSilva, Kampanart, Yuki Ishiwatari y Shogo Takahara. "Integration of Direct/Indirect Influences of Severe Accidents for Improvements of Nuclear Safety". En 2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icone20-power2012-55002.
Texto completoInformes sobre el tema "Sequence-based recommender"
Joel, Daniel M., Steven J. Knapp y Yaakov Tadmor. Genomic Approaches for Understanding Virulence and Resistance in the Sunflower-Orobanche Host-Parasite Interaction. United States Department of Agriculture, agosto de 2011. http://dx.doi.org/10.32747/2011.7592655.bard.
Texto completoFahima, Tzion y Jorge Dubcovsky. Map-based cloning of the novel stripe rust resistance gene YrG303 and its use to engineer 1B chromosome with multiple beneficial traits. United States Department of Agriculture, enero de 2013. http://dx.doi.org/10.32747/2013.7598147.bard.
Texto completoJorgensen, Frieda, Andre Charlett, Craig Swift, Anais Painset y Nicolae Corcionivoschi. A survey of the levels of Campylobacter spp. contamination and prevalence of selected antimicrobial resistance determinants in fresh whole UK-produced chilled chickens at retail sale (non-major retailers). Food Standards Agency, junio de 2021. http://dx.doi.org/10.46756/sci.fsa.xls618.
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