Relevant bibliographies by topics / Large Scale Recommendation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Large Scale Recommendation'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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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.

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Stickers are popularly used while messaging to visually express nuanced thoughts. We describe a real-time sticker recommendation (SR) system. We decompose SR into two steps: predict the message that is likely to be sent, and substitute that message with an appropriate sticker. To address the challenges caused by transliteration of message from users’ native language to the Roman script, we learn message embeddings by employing character-level CNN in an unsupervised manner. We use them to cluster semantically similar messages. Next, we predict the message cluster instead of the message. Except
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Zhou, 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.

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Sakhi, 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.

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Personalised interactive systems such as recommender systems require selecting relevant items from massive catalogs dependent on context. Reward-driven offline optimisation of these systems can be achieved by a relaxation of the discrete problem resulting in policy learning or REINFORCE style learning algorithms. Unfortunately, this relaxation step requires computing a sum over the entire catalogue making the complexity of the evaluation of the gradient (and hence each stochastic gradient descent iterations) linear in the catalogue size. This calculation is untenable in many real world example
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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/aaai.12023.

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Stickers are popularly used while messaging to visually express nuanced thoughts. We describe a real-time sticker recommendation (SR) system. We decompose SR into two steps: predict the message that is likely to be sent, and substitute that message with an appropriate sticker. To address the challenges caused by transliteration of message from users’ native language to the Roman script, we learn message embeddings by employing character-level CNN in an unsupervised manner. We use them to cluster semantically similar messages. Next, we predict the message cluster instead of the message. Except
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Chen, 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.

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Reinforcement learning (RL) has recently been introduced to interactive recommender systems (IRS) because of its nature of learning from dynamic interactions and planning for long-run performance. As IRS is always with thousands of items to recommend (i.e., thousands of actions), most existing RL-based methods, however, fail to handle such a large discrete action space problem and thus become inefficient. The existing work that tries to deal with the large discrete action space problem by utilizing the deep deterministic policy gradient framework suffers from the inconsistency between the cont
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Liu, 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.

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E, 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.

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HASHIMOTO, 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.

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Khan, 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.

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Bathla, 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.

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Social Big Data is generated by interactions of connected users on social network. Sharing of opinions and contents amongst users, reviews of users for products, result in social Big Data. If any user intends to select products such as movies, books, etc., from e-commerce sites or view any topic or opinion on social networking sites, there are a lot of options and these options result in information overload. Social recommendation systems assist users to make better selection as per their likings. Recent research works have improved recommendation systems by using matrix factorization, social
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Dissertations / Theses on the topic "Large Scale Recommendation"

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Nilsen, John Eirik Bjørhovde. "Large-Scale User Click Analysis in News Recommendation." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23004.

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The Internet and the World Wide Web have taken over as the standard reading and finding news. This makes it possible for news readers to carefully choose the news that is most interesting for them. Due to the large amounts of articles, it can be a challenging and time consuming task to find the wanted information. Simplifying this process for the news readers would be beneficial.This thesis explores the idea of filtering out unwanted news articles and serving the useful ones to the reader through mobile platforms. It is part of a bigger project named SmartMedia that focuses on using complex st
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Larsson, Carl-Johan. "Movie Recommendation System Using Large Scale Graph-Processing." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200601.

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Sakhi, Otmane. "Offline Contextual Bandit : Theory and Large Scale Applications." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAG011.

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Cette thèse s'intéresse au problème de l'apprentissage à partir d'interactions en utilisant le cadre du bandit contextuel hors ligne. En particulier, nous nous intéressons à deux sujets connexes : (1) l'apprentissage de politiques hors ligne avec des certificats de performance, et (2) l'apprentissage rapide et efficace de politiques, pour le problème de recommandation à grande échelle. Pour (1), nous tirons d'abord parti des résultats du cadre d'optimisation distributionnellement robuste pour construire des bornes asymptotiques, sensibles à la variance, qui permettent l'évaluation des performa
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Safran, Mejdl Sultan. "EFFICIENT LEARNING-BASED RECOMMENDATION ALGORITHMS FOR TOP-N TASKS AND TOP-N WORKERS IN LARGE-SCALE CROWDSOURCING SYSTEMS." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/dissertations/1511.

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A pressing need for efficient personalized recommendations has emerged in crowdsourcing systems. On the one hand, workers confront a flood of tasks, and they often spend too much time to find tasks matching their skills and interests. Thus, workers want effective recommendation of the most suitable tasks with regard to their skills and preferences. On the other hand, requesters sometimes receive results in low-quality completion since a less qualified worker may start working on a task before a better-skilled worker may get hands on. Thus, requesters want reliable recommendation of the best wo
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Yang, Dingqi. "Understanding human dynamics from large-scale location-centric social media data : analysis and applications." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0002/document.

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La dynamique humaine est un sujet essentiel de l'informatique centrée sur l’homme. Elle se concentre sur la compréhension des régularités sous-jacentes, des relations, et des changements dans les comportements humains. En analysant la dynamique humaine, nous pouvons comprendre non seulement des comportements individuels, tels que la présence d’une personne à un endroit précis, mais aussi des comportements collectifs, comme les mouvements sociaux. L’exploration de la dynamique humaine permet ainsi diverses applications, entre autres celles des services géo-dépendants personnalisés dans des scén
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Yang, Dingqi. "Understanding human dynamics from large-scale location-centric social media data : analysis and applications." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0002.

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La dynamique humaine est un sujet essentiel de l'informatique centrée sur l’homme. Elle se concentre sur la compréhension des régularités sous-jacentes, des relations, et des changements dans les comportements humains. En analysant la dynamique humaine, nous pouvons comprendre non seulement des comportements individuels, tels que la présence d’une personne à un endroit précis, mais aussi des comportements collectifs, comme les mouvements sociaux. L’exploration de la dynamique humaine permet ainsi diverses applications, entre autres celles des services géo-dépendants personnalisés dans des scén
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Östlin, Erik. "On Radio Wave Propagation Measurements and Modelling for Cellular Mobile Radio Networks." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00443.

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To support the continuously increasing number of mobile telephone users around the world, mobile communication systems have become more advanced and sophisticated in their designs. As a result of the great success with the second generation mobile radio networks, deployment of the third and development of fourth generations, the demand for higher data rates to support available services, such as internet connection, video telephony and personal navigation systems, is ever growing. To be able to meet the requirements regarding bandwidth and number of users, enhancements of existing systems and
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Arrascue, Ayala Victor Anthony [Verfasser], and Georg [Akademischer Betreuer] Lausen. "Towards an effective consumption of large-scale knowledge graphs for recommendations." Freiburg : Universität, 2020. http://d-nb.info/1223366189/34.

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Ardekani, Kamyar. "Feature Recommender : a large-scale in-situ study of proactive software feature recommendations." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/59761.

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In this thesis, we describe our design of Feature Recommender, a Mozilla Firefox browser extension, which proactively recommends features that it predicts will benefit users based on their individual usage behaviors. The goal of these pop-up notifications is to help users discover new features. How to maximize the effectiveness of such notifications while minimizing user interruptions remains a difficult open problem. One approach is to carefully time when the notifications are delivered. In our deployment of Feature Recommender, we study the effect of two delivery timing parameters: delivery
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Richardson, James Rutherford. "Accommodating existing settlements in large scale development : recommendations for Sha Tin New Town Hong Kong." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/69533.

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MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH.<br>Thesis (M. Arch.)--Massachusetts Institute of Technology, Dept. of Architecture; and, (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1981.<br>Bibliography: leaves 173-176.<br>by James Rutherford Richardson, IV.
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Books on the topic "Large Scale Recommendation"

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Mellina, Eric. Overview of large-scale ecological experimental designs and recommendations for the British Columbia Watershed Restoration Program. Ministry of Environment, Lands, and Parks, 1995.

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Lukanin, Alleksandr. Cleaning of gas and air emissions. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1070340.

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The monograph examines the currently existing industrial gas emissions in the chemical, petrochemical, microbiological, pharmaceutical and related industries, methods for calculating their quantity and methods for protecting the air basin from them. The materials are based on an in-depth analysis of methods for cleaning frequently occurring, most dangerous substances that enter the Earth's atmosphere with waste gases of large-scale production. Recommendations are given on methods for calculating gross emissions of harmful substances for a large number of specific industries.&#x0D; The subject
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Berman, Amy, Edward Haertel, and James Pellegrino, eds. Comparability of Large-Scale Educational Assessments: Issues and Recommendations. National Academy of Education, 2020. http://dx.doi.org/10.31094/2020/1.

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Holden, Melanie A., Martin J. Thomas, and Krysia S. Dziedzic. Miscellaneous physical therapies. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0026.

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Miscellaneous physical therapies, such as assistive devices, thermotherapy, manual therapy, and electrotherapy are commonly used to treat patients with osteoarthritis (OA) in addition to written information and exercise. However, the evidence underpinning specific miscellaneous physical therapies is often limited, with small study sizes, heterogeneous populations, and differing study designs making it difficult to draw firm conclusions about their effectiveness. One or more miscellaneous physical therapies feature within 15 current clinical guidelines for OA. The specific types of physical the
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Cawthon, Stephanie W. Large-Scale Survey Design in Deaf Education Research. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190455651.003.0009.

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Large-scale surveys are an appealing research design option for those wishing to collect data from many participants dispersed across different settings. This chapter describes several critical issues that must be considered when developing and conducting large-scale surveys in deaf education: aligning with a theoretical rationale, considering sample characteristics and potential confounds, piloting study measures, and developing an analysis plan. The chapter provides examples of ways to capture the heterogeneous demographics inherent within deaf education, ranging from individual characterist
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Recommendations for ground effects research for V/STOL and STOL aircraft and associated equipment for large scale testing. National Aeronautics and Space Administration, Ames Research Center, 1986.

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Cook, Harry, and Michael Newson. Yemeni Irregular Migrants in the Kingdom of Saudi Arabia and the Implications of Large Scale Return. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190608873.003.0007.

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In 2013, the Saudi government embarked on a nationwide strategy to restructure its labor market and its policies towards the recruitment of foreign workers. These changes are in line with the implementation of Saudi Arabia’s Nitaqat system which aims to better regulate foreign labor in the country and to reduce the number of irregular workers in the Kingdom. As a result of these changes in policy and implementation, there have been large-scale deportations of irregular workers—along with their family members, in some cases—from KSA beginning in mid-2013 and continuing up to the time of writing
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Kornell, Nate, and Bridgid Finn. Self-Regulated Learning. Edited by John Dunlosky and Sarah (Uma) K. Tauber. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.23.

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Effective self-regulated studying can influence students’ learning in school and beyond. This chapter reviews research on two key decisions: when to study and how to study. It first reviews the decisions people make about when to start and stop studying—that is, when to study—and the metacognitive judgments that underlie those decisions. It distinguishes between small-scale and large-scale decisions, such as which problem to work on next and whether to study today at all, respectively. It then discusses decisions about how to study, for example, whether or not to take notes, underline, test on
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Bellosta-López, Pablo, Priscila de Brito Silva, Palle S. Jensen, et al. Recommendations for implementation of the topic musculoskeletal disorders in the occupational health and safety postgraduate programmes at European Universities. Prevent4Work, 2021. http://dx.doi.org/10.54391/123456789/672.

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Historically, the role of professionals specialized in occupational health and safety (OHS) has emerged from the need to protect employers working in major risk industries such as nuclear plants and large-scale chemical industries in Europe. More recently, a few studies highlighted that the range of activities linked to safety management responsibilities includes monitor and prepare reports, inspection and auditing, regulatory compliance, emergency response, incident investigation, hazard and risk assessment, and training. Additionally, there are some supplementary non-safety related duties, s
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Dennis, Faber, and Vermunt Niels, eds. Bank Failure: Lessons from Lehman Brothers. Oxford University Press, 2017. http://dx.doi.org/10.1093/law/9780198755371.001.0001.

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This new book analyses the legal and practical issues experienced during the Lehman Brothers litigation, the largest and most complex bankruptcy proceedings in history. By examining the issues the work provides a useful reference source for future large scale and cross-border bankruptcy proceedings of multinational groups. The contributors include experts from the various jurisdictions in which Lehman Brothers was operative, many of whom were involved in the litigation. The chapters set out practical solutions to the issues faced, concerning, for example, the use of existing payment and settle
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Book chapters on the topic "Large Scale Recommendation"

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Abbasi, Rabeeh, Marcin Grzegorzek, and Steffen Staab. "Large Scale Tag Recommendation Using Different Image Representations." In Semantic Multimedia. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10543-2_8.

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Benouaret, Idir, and Dominique Lenne. "A Package-to-Group Recommendation Framework." In Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-58415-6_2.

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Prokofyev, Roman, Alexey Boyarsky, Oleg Ruchayskiy, Karl Aberer, Gianluca Demartini, and Philippe Cudré-Mauroux. "Tag Recommendation for Large-Scale Ontology-Based Information Systems." In The Semantic Web – ISWC 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35173-0_22.

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Draidi, Fady, Esther Pacitti, and Bettina Kemme. "P2Prec: A P2P Recommendation System for Large-Scale Data Sharing." In Transactions on Large-Scale Data- and Knowledge-Centered Systems III. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23074-5_4.

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Yu, Ruiguo, Jianrong Wang, Tianyi Xu, Jie Gao, Kunyu Cao, and Mei Yu. "Communities Mining and Recommendation for Large-Scale Mobile Social Networks." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60033-8_24.

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Chen, Ming, Chunying Li, Jiwei Liu, Dejie Meng, and Yong Tang. "Scholar Recommendation Model in Large Scale Academic Social Networking Platform." In Human Centered Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74521-3_48.

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Fu, Huazheng, Kang Chen, and Jianbing Ding. "An Empirical Study of a Large Scale Online Recommendation System." In Web Technologies and Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28121-6_2.

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Maurya, Chandresh Kumar, Seemandhar Jain, and Vishal Thakre. "Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation." In Big Data Analytics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93620-4_13.

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Servajean, Maximilien, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, and Amr El Abbadi. "Increasing Coverage in Distributed Search and Recommendation with Profile Diversity." In Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48567-5_4.

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Shi, Zhenkui. "Privacy-Assured Large-Scale Navigation from Encrypted Approximate Shortest Path Recommendation." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8890-2_14.

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Conference papers on the topic "Large Scale Recommendation"

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Huo, Pingyi, Anusha Devulapally, Hasan Al Maruf, et al. "PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences." In 2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO). IEEE, 2024. https://doi.org/10.1109/micro61859.2024.00052.

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Tong, Yan. "Research on Deep Clustering and Multimodal Deep Learning Service Recommendation System for Large-Scale User Data." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10967931.

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Ji, Houye, Junxiong Zhu, Chuan Shi, et al. "Large-scale Comb-K Recommendation." In WWW '21: The Web Conference 2021. ACM, 2021. http://dx.doi.org/10.1145/3442381.3449924.

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Zhang, Xindong, Chenguang Zhu, Yi Li, Jianmei Guo, Lihua Liu, and Haobo Gu. "Large-scale patch recommendation at Alibaba." In ICSE '20: 42nd International Conference on Software Engineering. ACM, 2020. http://dx.doi.org/10.1145/3377812.3390902.

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Swezey, Robin M. E., and Bruno Charron. "Large-scale recommendation for portfolio optimization." In RecSys '18: Twelfth ACM Conference on Recommender Systems. ACM, 2018. http://dx.doi.org/10.1145/3240323.3240386.

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Lee, Joonseok, and Sami Abu-El-Haija. "Large-Scale Content-Only Video Recommendation." In 2017 IEEE International Conference on Computer Vision Workshop (ICCVW). IEEE, 2017. http://dx.doi.org/10.1109/iccvw.2017.121.

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Chen, Chaochao, Xinxing Yang, Li Wang, Jun Zhou, and Xiaolong Li. "Large scale app recommendation in Ant Financial." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258524.

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Chamberlain, Benjamin P., Emanuele Rossi, Dan Shiebler, Suvash Sedhain, and Michael M. Bronstein. "Tuning Word2vec for Large Scale Recommendation Systems." In RecSys '20: Fourteenth ACM Conference on Recommender Systems. ACM, 2020. http://dx.doi.org/10.1145/3383313.3418486.

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Chen, Huiyuan, Zhe Xu, Chin-Chia Michael Yeh, et al. "Masked Graph Transformer for Large-Scale Recommendation." In SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2024. http://dx.doi.org/10.1145/3626772.3657971.

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Joglekar, Manas R., Cong Li, Mei Chen, et al. "Neural Input Search for Large Scale Recommendation Models." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2020. http://dx.doi.org/10.1145/3394486.3403288.

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Reports on the topic "Large Scale Recommendation"

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Spane, Frank A. Large-Scale Pumping Test Recommendations for the 200-ZP-1 Operable Unit. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/989035.

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Albornoz, Facundo, Guillermo Cruces, and María Lombardi. Trusting Covid-19 recommendations: The role of experts, markets and governments. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005097.

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Do individuals trust experts' advice? Does the sector represented by these experts matter for trust and compliance? Do individuals prefer the public or the private sector for large-scale responses to events such as the pandemic? We answer these questions by means of a large-scale survey on a representative sample of 9,444 respondents from Argentina, Bolivia, Colombia, Ecuador, Mexico, Peru and Uruguay. We study if opinions on risk-mitigating actions against Covid-19 are shaped by expert recommendations and the sectors they represent. We identify a backlash against experts' recommendations that
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Ford, Adam T., Marcel Huijser, and Anthony P. Clevenger. Long-term responses of an ecological community to highway mitigation measures. Nevada Department of Transportation, 2022. http://dx.doi.org/10.15788/ndot2022.06.

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In road mitigation systems characterized by multiple wildlife crossing structures (CS) and multiple-focal species, these species-specific design criteria are important to meeting management goals. CS types and locations are fixed in place and cannot be manipulated experimentally; long term studies may offer the best chance to inform evidence-based designs for new CS projects in the future. Long-term data from Banff National Park are uniquely posed to answer these critical questions. More recently, highway mitigation along US93 in Montana provides an additional case study with which to understa
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Barba, Ricardo Carlos, Sourav Majumder, Palak Rawal, and Saswati Ghosh Belliappa. Resettling Urban Populations: Learning from the Graduation Approach in India. Asian Development Bank, 2023. http://dx.doi.org/10.22617/wps230201-2.

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The integration of the Graduation Approach in resettlement planning and implementation under the Tamil Nadu Inclusive, Resilient, and Sustainable Housing for Urban Poor Sector Project presents a unique model for large-scale resettlement. The Graduation approach is a combination of sequenced interventions aimed to lift households out of poverty and into sustainable livelihoods. This working paper explains the contextualized design of the Graduation program for the project, its envisaged impact, lessons learned at the design phase, and recommendations for other projects involving large scale res
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Hinrichs, Claudia, and Judith Hauck. Report on skill of CMIP6 models to simulate alkalinity and improved parameterizations for large scale alkalinity distribution. OceanNets, 2022. http://dx.doi.org/10.3289/oceannets_d4.4.

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In part one of this deliverable, an ensemble of 14 CMIP6 Earth System Models is evaluated regarding their performance in simulating alkalinity and related parameters. The majority of the models and the multi-model-mean underestimate surface alkalinity compared to climatological observations. Alkalinity biases stemming from the parametrization of calcium carbonate formation and dissolution can be as big as biases stemming from model physics. In part two, we test the sensitivity of parametrizations concerning the carbonate chemistry in the FESOM2.1-REcoM3 and give recommendations for addressing
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Muldavin, Esteban, Yvonne Chauvin, Teri Neville, et al. A vegetation classi?cation and map: Guadalupe Mountains National Park. National Park Service, 2024. http://dx.doi.org/10.36967/2302855.

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A vegetation classi?cation and map for Guadalupe Mountains National Park (NP) is presented as part of the National Park Service Inventory &amp; Monitoring - Vegetation Inventory Program to classify, describe, and map vegetation communities in more than 280 national park units across the United States. Guadalupe Mountains NP lies in far west Texas and contains the highest point in the state, Guadalupe Peak (8,751 ft; 2,667 m). The mountain escarpments descend some 5,000 ft (1,500 m) to the desert basins below forming a complex geologic landscape that supports vegetation communities ranging from
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Marcos Morezuelas, Paloma. Gender and Renewable Energy: Wind, Solar, Geothermal and Hydroelectric Energy. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0003068.

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This document focuses on how to incorporate a gender perspective in operations that support the construction, operation and maintenance of medium- and large-scale renewable wind, solar, geothermal and hydroelectric energy installations connected to the grid for purposes of power generation. Additionally, there is also a section on rural energy that is applicable to small installations and mini-grids, or to exceptional cases where medium- and large-scale facilities provide electricity to a community. The document (i) identifies the possible gender equality challenges and opportunities as part o
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Langlais, Pierre-Carl. Diamond open access. Comité pour la science ouverte, 2023. https://doi.org/10.52949/77.

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Contrary to a widespread belief that open access publications are paid by their authors, a significant amount of scientific articles are published with no fees to both readers and authors (or “Diamond” model). In 2021, it is estimated that between 17,000 and 29,000 scientific journals rely on a Diamond model. 73% of the journals registered in the Directory of Open Access Journals charge no fee. The Diamond model is attested on a world wide scale. It is especially prevalent in Latin America (95% of journals) following the emergence of large publicly-supported platforms, such as SciELO and Redal
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Zhai, Yuhui, and Yanfeng Ouyang. Effects of Nontraditional Messages in Dynamic Message Signs on Improving Safety, Compliance, and Avoiding Distraction. Illinois Center for Transportation, 2024. http://dx.doi.org/10.36501/0197-9191/24-014.

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This project develops capability for future studies on the effects of nontraditional messages in dynamic message signs on improving driver safety and compliance and avoiding distractions. An online survey and a driving simulation game were designed, and a pilot run was conducted with a small number of students in the University of Illinois Urbana Champaign. Survey responses and simulation data were analyzed to reveal preliminary findings on notable effectiveness across different types of messages (e.g., humorous, emotionless, negative). The pilot study also provides guidelines and recommendati
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Buesseler, Buessele, Daniele Bianchi, Fei Chai, et al. Paths forward for exploring ocean iron fertilization. Woods Hole Oceanographic Institution, 2023. http://dx.doi.org/10.1575/1912/67120.

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We need a new way of talking about global warming. UN Secretary General António Guterres underscored this when he said the “era of global boiling” has arrived. Although we have made remarkable progress on a very complex problem over the past thirty years, we have a long way to go before we can keep the global temperature increase to below 2°C relative to the pre-industrial times. Climate models suggest that this next decade is critical if we are to avert the worst consequences of climate change. The world must continue to reduce greenhouse gas emissions, and find ways to adapt and build resili
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