Relevant bibliographies by topics / Extracting user interests

Contents

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

Academic literature on the topic 'Extracting user interests'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Extracting user interests"

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Kim, Jeongin, Dongjin Choi, Byeongkyu Ko, Eunji Lee, and Pankoo Kim. "Retracted: Extracting User Interests on Facebook." International Journal of Distributed Sensor Networks 10, no. 6 (2014): 146967. http://dx.doi.org/10.1155/2014/146967.

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Pradhan, Ligaj, Chengcui Zhang, and Steven Bethard. "Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews." International Journal of Multimedia Data Engineering and Management 7, no. 4 (2016): 63–80. http://dx.doi.org/10.4018/ijmdem.2016100104.

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Intricate user-behaviors can be understood by discovering user interests from their reviews. Topic modeling techniques have been extensively explored to discover latent user interests from user reviews. However, a topic extracted by topic modelling techniques can be a mixture of several quite different concepts and thus less interpretable. In this paper, the authors present a method that uses topic modeling techniques to discover a large number of topics and applies hierarchical clustering to generate a much smaller number of interpretable User-Concerns. These User-Concerns are further compare
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Chen, Hua Yue, and Jing Pu. "Based on the Characteris of Learners Personalized-Learning System Design." Applied Mechanics and Materials 380-384 (August 2013): 2786–89. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2786.

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Todo, Hiroyoshi, Xiliang Zhang, Zhongguo Zhang, and Yuki Todo. "Dynamic User Tourism Interest Modeling through Domain Information Integration: A Hierarchical Approach." Electronics 13, no. 15 (2024): 2970. http://dx.doi.org/10.3390/electronics13152970.

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With the exponential growth of online review platforms, understanding user preferences and interests in the tourism domain has become increasingly critical for businesses and service providers. However, extracting meaningful insights from the vast amount of available data poses a significant challenge. Traditional methods often struggle to capture the nuanced and hierarchical nature of user interests within the tourism domain. This paper pioneers the integration of domain information modeling technology into the realm of online review information mining, presenting a novel approach to construc
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Leeladhar Chourasiya. "Decoding Instagram: A Categorical Approach to User Behavior and Trend Analysis (DICAT)." Journal of Information Systems Engineering and Management 10, no. 37s (2025): 1076–90. https://doi.org/10.52783/jisem.v10i37s.6759.

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Social media platforms like Instagram have become rich sources of data for understanding user behavior, preferences, and trends. Analyzing Instagram databases requires robust methodologies, especially due to the sheer volume and complexity of the data. In this research paper, we propose a categorical approach for Instagram database analysis, aimed at extracting meaningful insights from diverse categorical data present in Instagram's database. We explore various techniques and tools for data collection, preprocessing, analysis, and visualization, focusing on categorical variables such as hashta
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K., Srinivasa Rao, A. Ramesh Babu Dr., and M. Krishna Murthy Dr. "Extracting the User's Interests from Web Log Data using A Time Based Algorithm." International Journal of Trend in Scientific Research and Development 1, no. 6 (2017): 477–82. https://doi.org/10.31142/ijtsrd2474.

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The knowledge on the cobweb is growing expressively. Without a recommendation theory, the clients may come through lots of instance on the network in finding the knowledge they are stimulated in. Today, many web recommendation theories cannot give clients adequate symbolized help but provide the client with lots of immaterial knowledge. One of the main reasons is that it cant correctly extract users interests. Therefore, analyzing users Web Log Data and extracting users potential interested domains become very important research topics of web usage mining. If users interests can be automatical
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Yang, Weiwei. "Personalized Intelligent Recommendation Algorithm Design for Book Services Based on Deep Learning." Wireless Communications and Mobile Computing 2022 (March 10, 2022): 1–8. http://dx.doi.org/10.1155/2022/9203665.

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Machine learning is one of the important branches of artificial intelligence, which provides new technical means for analyzing users, understanding users, and gaining insight into users. The framework of the personalized intelligent service model for libraries based on user portraits is proposed, and intelligent technologies such as machine learning are applied to analyze and mine users’ big data, build user portraits, associate users and resources with user portraits, and provide personalized intelligent services for users. The study gives a case study of book recommendation by firstly extrac
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Li, Zhaohui, Wenjia Piao, Zhengyi Sun, Lin Wang, Xiaoqian Wang, and Wenli Li. "User Real-Time Influence Ranking Algorithm of Social Networks Considering Interactivity and Topicality." Entropy 25, no. 6 (2023): 926. http://dx.doi.org/10.3390/e25060926.

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At present, the existing influence evaluation algorithms often ignore network structure attributes, user interests and the time-varying propagation characteristics of influence. To address these issues, this work comprehensively discusses users’ own influence, weighted indicators, users’ interaction influence and the similarity between user interests and topics, thus proposing a dynamic user influence ranking algorithm called UWUSRank. First, we determine the user’s own basic influence based on their activity, authentication information and blog response. This improves the problem of poor obje
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Kai, Wang. "Dynamic Interest Portrait of Community Users based on Three-way Fuzzy Concept Lattices." Foundations of Computing and Decision Sciences 49, no. 4 (2024): 385–408. https://doi.org/10.2478/fcds-2024-0019.

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Abstract Aiming at the multi-granularity knowledge discovery of users in online community, a method of dynamic user interest portrait based on Three-way Fuzzy Concept Lattice (3WFCL) is proposed to reveal the relationship between long-term and short-term interest drift, which improves the accuracy of the user portrait from a fuzzy perspective. Firstly, the label topic matrix of community users is constructed based on the topic analysis and the dynamic interest modelling is realized. Secondly, the environment migration index is calculated by extracting the topic and sentiment characteristics of
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Yan, Ziang, Xingyu Zhao, Hanqing Ma, et al. "Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 12 (2025): 12999–3007. https://doi.org/10.1609/aaai.v39i12.33418.

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With the rise of social media and Location-Based Social Networks (LBSN), check-in data across platforms has become crucial for User Identity Linkage (UIL). These data not only reveal users' spatio-temporal information but also provide insights into their behavior patterns and interests. However, cross-platform identity linkage faces challenges like poor data quality, high sparsity, and noise interference, which hinder existing methods from extracting cross-platform user information. To address these issues, we propose a Correlation-Attention Masked Transformer for User Identity Link age Networ
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Dissertations / Theses on the topic "Extracting user interests"

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Silva, André Brasiliano da. "Robustez em um sistema de detecção e rastreamento de olhos para implementação de uma interface humano-computador." Universidade Presbiteriana Mackenzie, 2014. http://tede.mackenzie.br/jspui/handle/tede/1444.

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Made available in DSpace on 2016-03-15T19:37:51Z (GMT). No. of bitstreams: 1 Andre Brasiliano da Silva.pdf: 4815626 bytes, checksum: e53fa837ff6a7eb3cff0f55f4b3b26ac (MD5) Previous issue date: 2014-08-21<br>Eye tracking is an important issue for Human Computer interaction, mainly for users with hand-eye coordination problems. The work presented here shows a low cost and robust eye tracking system capable to work with an HD stream. The implementations used in this work over the base system present diferent techniques in all stages, from face detection to iris detection. Local processing is us
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Vu, Xuan Truong. "User-centered and group-based approach for social data filtering and sharing." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2179/document.

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Les médias sociaux occupent un rôle grandissant dans de nombreux domaines de notre vie quotidienne. Parmi d'autres, les réseaux sociaux tels que Facebook, Twitter, LinkedIn et Google+ dont la popularité a explosé ces dernières années, attirent des millions d'utilisateurs qui se communiquent, publient et partagent des informations et contenus à un rythme sans précédent. Outre les avantages reconnus, les réseaux sociaux ont également soulevé des problèmes divers. Nous sommes particulièrement intéressés par deux problèmes spécifiques : surcharge d'information et cloisonnement de données. Ces deux
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Tseng, Hsin-Cheng, and 曾信誠. "Ontology-based User Profiling with Interest Extraction and Privacy Control." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/88644564409153510656.

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碩士<br>國立東華大學<br>資訊工程學系<br>92<br>With the increasing of information on the web, it is a immediately request to extract what user really need among the almost unlimited information resource. Many researches have developed approaches to provide personalized services. However, most personalized services involved with user profiles which means privacy issue has to be concerned. Protecting user profile is getting more and more important. The trade-off between personalized services and user privacy is what we try to solve. Our research provides personalized services and protected privacy at the sam
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Books on the topic "Extracting user interests"

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Ksenofontov, Boris. Physico-chemical treatment of man-made and waste waters using combined flotation technology. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2163263.

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For the first time in world practice, the monograph examines topical issues of physico-chemical treatment of man-made waters using combined flotation equipment, including flotation combines for various purposes. Much attention is paid to the extraction of metals from man-made waters. The basics of ion flotation used to extract valuable metal ions are considered in sufficient detail. It is shown that the use of flotation combines makes it possible to significantly increase the extraction of various pollutants from man-made waters, and with reduced energy and material costs. It is intended for r
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Ksenofontov, Boris. Flotation combines for wastewater treatment of the KBS type for general and special purposes and their operating modes. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2170637.

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The monograph discusses topical issues of physico-chemical treatment of man-made waters using combined flotation equipment, including KBS-type flotation combines for various purposes. Much attention is paid to the extraction of metals from man-made waters. The basics of ion flotation used to extract ions of valuable metals are considered in sufficient detail. It is shown that the use of KBS-type flotation combines can significantly increase the extraction of various pollutants from man-made waters, and with reduced energy and material costs. It is intended for researchers, undergraduates, post
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Golubkina, Nadezhda, Elena Kekina, Anna Molchanova, and Sergey Nadezhkin. Antioxidants of plants and methods of their definition. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1045420.

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The monograph presents the most simple and widely used methods for determining the most important of plant antioxidants: vitamin C, polyphenols, carotenoids, capsaicin, and belinovich photosynthetic pigments, flavonoids, anthocyanins, alkaloids, tannins, and minerals antioxidant: selenium and iodine. Special attention is paid to methods of extraction of antioxidants, providing maximum extraction of antioxidants from plant material, and the correct selection of the most appropriate method of analysis of one or another component. Provides detailed information developed by the authors method of u
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Zarrinkalam, Fattane, Guangyuan Piao, Ebrahim Bagheri, and Stefano Faralli. Extracting, Mining and Predicting Users' Interests from Social Media. Now Publishers, 2020.

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Östensson, Olle. Local Content, Supply Chains, and Shared Infrastructure. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198817369.003.0024.

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Local content policies for extractive industries have attracted increased interest. Local content requirements are often included in legislation or contracts. Such efforts may be constrained by low capacity of potential suppliers, low skills, and the general business environment. A number of extractive industry companies have introduced supplier development programmes that attempt to reduce the constraints and skill gaps. Government industrial policies on local content vary: some prescribe quantitative targets for local content, while others focus on improving skills and raising the capacity o
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Palomäki, Outi, and Petri Volmanen. Alternative neural blocks for labour analgesia. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713333.003.0018.

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Although neuraxial analgesia is available to the majority of parturients in developed countries, alternative neural blocks for labour analgesia are needed for medical, individual, and institutional reasons. Paracervical and pudendal blocks are usually administered transvaginally by an obstetrician. An injection of 0.25% bupivacaine using a superficial technique into the lateral fornixes gives rapid pain relief and has been found to have no negative effect on either fetal oxygenation, or maternal and neonatal outcomes. Low rates of post-analgesic bradycardia and high rates of spontaneous vagina
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Eriksson, Olle, Anders Bergman, Lars Bergqvist, and Johan Hellsvik. Implementation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788669.003.0007.

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In this chapter, we will present the technical aspects of atomistic spin dynamics, in particular how the method can be implemented in an actual computer software. This involves calculation of effective field and creation of neighbour lists for setting up the geometry of the system of interest as well as choosing a suitable integrator scheme for the SLL (or SLLG) equation. We also give examples of extraction and processing of relevant observables that are common output from simulations. Atomistic spin dynamics simulations could be a computationally heavy tool but it is also very well adapted fo
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Roberts, Tony, and Admire Mare, eds. Digital Surveillance in Africa. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781350422117.

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Media coverage and scholarly research on digital surveillance has focused primarily on the USA and Europe. Everyone knows about Cambridge Analytica’s social media surveillance; Edward Snowden’s revelations of the West’s mass internet and phone surveillance; and Pegasus Spyware’s mobile phone surveillance of activists, journalists, judges, and presidents across the world. Comparatively little is known about the millions of dollars now being spent on digital technologies for use in the illegal and illegitimate surveillance of citizens in Africa. In this open-access third volume of Bloomsbury’sDi
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Powers, Shawn M., and Michael Jablonski. Google, Information, and Power. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252039126.003.0004.

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This chapter examines Google's aims to dominate the global market for information services and data. Drawing from the suggestion that “information is the new oil of the Internet and the currency of the digital world,” it explores how Google's various endeavors seek to control each facet of the data market: data production, data extraction, data refinement, data infrastructure and distribution, and demand. It shows that there is no equivalent company that has ever been capable of dominance in each facet of the oil economy to the extent that Google leads in the data economy. The chapter also dis
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Ince, Onur Ulas. Not a Partnership in Pepper, Coffee, Calico, or Tobacco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190637293.003.0004.

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This chapter examines Edmund Burke’s arguments on the Anglo-Indian trade and the British rule in Bengal. In contrast to the culturalist interpretations of Burke’s position on the British Empire, the chapter brings Burke’s political economic writings to bear on his efforts to maintain the empire in India while expunging its illiberal economic aspects. Behind Burke’s attempt to reform the Indian administration and impeach Warren Hastings, it is argued, was the East India Company’s systematic violation of the liberal economic principles that defined the British character as a commercial society.
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Book chapters on the topic "Extracting user interests"

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Jung, Jason J., and Geun-Sik Jo. "Extracting User Interests from Bookmarks on the Web." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36175-8_20.

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Wang, Yuanyuan, Yukiko Kawai, and Kazutoshi Sumiya. "Extracting User Interests from Operation Logs on Museum Devices for Post-Learning." In Digital Libraries at Times of Massive Societal Transition. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64452-9_15.

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Uğurlu, Yücel. "Wearable Context Recognition for Distance Learning Systems: A Case Study in Extracting User Interests." In Computer and Information Science. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00804-2_5.

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Ding, Ying, and Jing Jiang. "Extracting Interest Tags from Twitter User Biographies." In Information Retrieval Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12844-3_23.

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Murata, Tsuyoshi, and Kota Saito. "Extracting Users' Interests of Web-watching Behaviors Based on Site-Keyword Graph." In Emergent Intelligence of Networked Agents. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71075-2_11.

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Yang, Ping, Yan Song, and Yang Ji. "Tag-Based User Interest Discovery Though Keywords Extraction in Social Network." In Big Data Computing and Communications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22047-5_29.

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Wei, Yimeng, Guiying Wei, and Sen Wu. "News Recommendation Method Based on Topic Extraction and User Interest Transfer." In Lecture Notes in Operations Research. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8656-6_20.

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Lee, Jeungmin, Hansaem Park, Kyunglag Kwon, Yunwan Jeon, Sungwoo Jung, and In-Jeong Chung. "An Approach for User Interests Extraction Using Decision Tree and Social Network Analysis." In Lecture Notes in Electrical Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1536-6_72.

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Zucco, Chiara, Barbara Calabrese, and Mario Cannataro. "Emotion Mining: from Unimodal to Multimodal Approaches." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_11.

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AbstractIn the last decade, Sentiment Analysis and Affective Computing have found applications in different domains. In particular, the interest of extracting emotions in healthcare is demonstrated by the various applications which encompass patient monitoring and adverse events prediction. Thanks to the availability of large datasets, most of which are extracted from social media platforms, several techniques for extracting emotion and opinion from different modalities have been proposed, using both unimodal and multimodal approaches. After introducing the basic concepts related to emotion th
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Mathur, Ryan, and Yun Zhao. "Copper Isotopes Used in Mineral Exploration." In Isotopes in Economic Geology, Metallogenesis and Exploration. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27897-6_14.

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AbstractThe use of copper isotopes related to ore deposit location and genesis has greatly expanded over the past twenty years. The isotope values in ores, rocks, soils, and water range greater than 10‰ and provide ample isotopic variation to identify and interpret complex geological process. From an exploration standpoint, the copper isotope values in waters, sulfides and weathered rocks vector to mineralization at depth. Ground and surface waters display the greatest potential for both green and brownfields exploration, whereas Fe-oxides and other related ore minerals isotope compositions fo
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Conference papers on the topic "Extracting user interests"

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Zhang, Jingtian. "Research on User Behavior Interest Feature Extraction and Accurate Advertising Recommendation Algorithm based on Deep Learning and Improved LDA Model." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968476.

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Martínez, Isabel, Francisco Rozas, Marta González, and Marta Castellote. "New Non-destructive Passivity Indicators for the Control of Electrochemical Chloride Extraction in Concrete." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-3764.

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Abstract The increasing application of electrochemical chloride extraction (ECE) in concrete has aroused great interest in the understanding of the mechanisms involved in this technique. There are many gaps remaining to be filled in relation to the processes taking place at the electrodes and how to detect the moment in which the rebar is re-passivated. The usual methods to control the efficiency of the treatment involve extraction and chemical analysis (chloride ions) of cores from the structure. The corrosion potential and corrosion rate measured by the Polarization Resistance technique are
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Eglite, Irina, and Kaspars Krauklis. "PUBLICATION OF DATA FROM THE LATVIAN REGIONAL HYDROGEOLOGICAL MODEL LAMO4." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/3.2/s11.13.

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Geographic information systems (GIS) are based on the approach of displaying data from individual layers, where a manageable number of geospatial objects are displayed within a single layer. The entire content of a hydrogeological model (HM) can only be partially included within this framework. HM input data and modeling results as layer surface maps are a way to easily, clearly, and simply publish the model content and simulation experiment results. However, this approach is not sufficient for regional HMs. Regional HM data may be of interest not only to specialists in hydrogeology and state
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Gabelle, C., C. Rousseau, F. Baraud, L. Leleyter, and D. Barillier. "Assessment of Contamination by Aluminium and Heavy Metals in Sediments and Water of a French Port Using Aluminium Sacrificial Anodes." In CORROSION 2009. NACE International, 2009. https://doi.org/10.5006/c2009-09517.

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Abstract Ports infrastructures are generally protected by cathodic protection using aluminium sacrificial anodes. Anodes are then dissolved in seawater and Al can accumulate in sediments. This study was led in the framework of the European EFFORTS project. Investigations were realized on sediments and water from a French port, which uses aluminium sacrificial anodes. The aim was to estimate the possible contamination level and the chemical speciation of aluminium. Moreover, a special interest was given to heavy metals. Different sites were sampled in 2007. Surface water and interstitial water
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Advincula, Rigoberto C. "Polymer and Nanomaterial Based Inhibitors: Stimuli-Responsive." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09586.

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Abstract The use of polymer based chemical inhibitors has the advantage of utilizing chemical, macromolecular, and compositional (blends or block copolymers) towards chemical inhibitors whether it is for corrosion or scaling issues. It is important to understand the multi-phase condition of production fluids whether it is extraction or circulation (oil and gas vs geothermal brine). It is also important to understand the mechanism and the long-term action of inhibition from the fluid to the surface that is being protected. This talk will highlight the principles and work in investigating variou
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El Achkar, Ibtissam, Amine Labriji, Fadoua Ghanimi, and El Houssine Labriji. "Ontology-based Approach for Extracting User Interests Centers." In SCA '18: 3rd International Conference on Smart City Applications. ACM, 2018. http://dx.doi.org/10.1145/3286606.3286802.

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Wasim, Muhammad, Iram Shahzadi, Qanita Ahmad, and Waqar Mahmood. "Extracting and modeling user interests based on social media." In 2011 IEEE 14th International Multitopic Conference (INMIC). IEEE, 2011. http://dx.doi.org/10.1109/inmic.2011.6151489.

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Limam, Lyes, David Coquil, Harald Kosch, and Lionel Brunie. "Extracting User Interests from Search Query Logs: A Clustering Approach." In 2010 21st International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2010. http://dx.doi.org/10.1109/dexa.2010.23.

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Wang, Shuqing, Li She, Zhen Liu, and Yan Fu. "Algorithm Research on User Interests Extracting via Web Log Data." In 2009 International Conference on Web Information Systems and Mining (WISM). IEEE, 2009. http://dx.doi.org/10.1109/wism.2009.27.

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Ou, Wei. "Extracting User Interests from Graph Connections for Machine Learning in Location-Based Social Networks." In the MLSDA 2014 2nd Workshop. ACM Press, 2014. http://dx.doi.org/10.1145/2689746.2689754.

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Reports on the topic "Extracting user interests"

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Gómez-Lobo, Andrés. Putting the Passenger First: What Works and What does not Work in Urban Mobility Reforms in Latin America and the Caribbean. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013367.

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The Latin American and Caribbean region offers a rich history of innovative policies and investments in urban mobility. We review some of these experiences with the aim of extracting lessons that can provide guidance to policymakers in the design and implementation of successful urban transport reforms. Special emphasis is placed on users' welfare and how different policies impinge on their interests and behavior. Many reforms have faced difficulties by not considering the consequences of policy initiatives on users' welfare, especially their impact on time costs. Another relevant theme discus
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Bellemare, Simon. PR-610-163756-R01 Hardness Strength and Ductility (HSD) Testing of Line Pipes Initial Validation. Pipeline Research Council International, Inc. (PRCI), 2017. http://dx.doi.org/10.55274/r0011424.

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In-ditch nondestructive material verification for yield strength and toughness has been a growing interest to the pipeline industry in the continuous efforts to further raise pipeline safety and efficiency. It can complement or substitute alternate techniques such as material extraction or hydrostatic pressure tests. This work is the first use of the Hardness, Strength, and Ductility (HSD) Tester by PRCI to measure the equivalent of the API 5L yield strength from only testing the out-side diameter surface of pipe joints without significant material removal. The procedure explicitly account for
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Al-Qadi, Imad, Hasan Ozer, Mouna Krami Senhaji, et al. A Life-Cycle Methodology for Energy Use by In-Place Pavement Recycling Techniques. Illinois Center for Transportation, 2020. http://dx.doi.org/10.36501/0197-9191/20-018.

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Worldwide interest in using recycled materials in flexible pavements as an alternative to virgin materials has increased significantly over the past few decades. Therefore, recycling has been utilized in pavement maintenance and rehabilitation activities. Three types of in-place recycling technologies have been introduced since the late 70s: hot in-place recycling, cold in-place recycling, and full-depth reclamation. The main objectives of this project are to develop a framework and a life-cycle assessment (LCA) methodology to evaluate maintenance and rehabilitation treatments, specifically in
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Forni, Laura, Nyah Mallak, Andrea E. Izquierdo, et al. Addressing the gap in the UN’s SDG indicators: towards a socially equitable and environmentally responsible energy transition in the Argentine Puna. Stockholm Environment Institute, 2025. https://doi.org/10.51414/sei2025.032.

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Amid global initiatives to address the environmental and socioeconomic challenges posed by climate change, governments, corporations and communities require clear, actionable goals to guide their efforts. The UN developed the 17 Sustainable Development Goals (SDGs) that make up the 2030 Agenda in 2015, which cover topics ranging from conservation agriculture and eradicating hunger to creating justice within institutions and improving city safety. Since then, the SDGs have dominated the international aid and environmental restoration spheres, yet the broad and interconnected nature of the goals
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Vega-Araújo, José, Juliana Peña Niño, Elisa Arond, and Fernando Patzy. Navigating a just energy transition from coal in the Colombian Caribbean. Stockholm Environment Institute, 2023. http://dx.doi.org/10.51414/sei2023.063.

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The findings reported in this paper provide insights into the power dynamics and distributional politics that shape resistance to phasing out coal and to opportunities for change, as part of a broader project comparing these lessons and experiences in Colombia, South Africa and Indonesia, aiming to understand challenges to a just energy transition in coal-producing countries in the Global South. The current Colombian government has helped centre the concept of a just energy transition in public debate, encompassing a broad range of questions and concerns. National, regional and local discussio
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Walsh, Alex. The Contentious Politics of Tunisia’s Natural Resource Management and the Prospects of the Renewable Energy Transition. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/k4d.2021.048.

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For many decades in Tunisia, there has been a robust link between natural resource management and contentious national and local politics. These disputes manifest in the form of protests, sit-ins, the disruption of production and distribution and legal suits on the one hand, and corporate and government response using coercive and concessionary measures on the other. Residents of resource-rich areas and their allies protest the inequitable distribution of their local natural wealth and the degradation of their health, land, water, soil and air. They contest a dynamic that tends to bring greate
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Irudayaraj, Joseph, Ze'ev Schmilovitch, Amos Mizrach, Giora Kritzman, and Chitrita DebRoy. Rapid detection of food borne pathogens and non-pathogens in fresh produce using FT-IRS and raman spectroscopy. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7587221.bard.

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Rapid detection of pathogens and hazardous elements in fresh fruits and vegetables after harvest requires the use of advanced sensor technology at each step in the farm-to-consumer or farm-to-processing sequence. Fourier-transform infrared (FTIR) spectroscopy and the complementary Raman spectroscopy, an advanced optical technique based on light scattering will be investigated for rapid and on-site assessment of produce safety. Paving the way toward the development of this innovative methodology, specific original objectives were to (1) identify and distinguish different serotypes of Escherichi
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Rupke, Andrew. Estimates of Lithium, Magnesium, and Potassium Resources in Great Salt Lake Brine. Utah Geological Survey, 2025. https://doi.org/10.34191/ofr-769.

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Understanding the available mineral resources in Great Salt Lake brine is an important component to managing these resources into the future. This study examined the in-place resource, or mass, of three economically important ions held within the brine: lithium, magnesium, and potassium. Interest in Great Salt Lake’s lithium has risen in recent years with society’s increased use of lithium in batteries, and magnesium and potassium have long been extracted from the lake. Using the Utah Geological Survey’s Great Salt Lake brine chemistry database, which contains data from 1966 to the present, th
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Shani, Uri, Lynn Dudley, Alon Ben-Gal, Menachem Moshelion, and Yajun Wu. Root Conductance, Root-soil Interface Water Potential, Water and Ion Channel Function, and Tissue Expression Profile as Affected by Environmental Conditions. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7592119.bard.

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Constraints on water resources and the environment necessitate more efficient use of water. The key to efficient management is an understanding of the physical and physiological processes occurring in the soil-root hydraulic continuum.While both soil and plant leaf water potentials are well understood, modeled and measured, the root-soil interface where actual uptake processes occur has not been sufficiently studied. The water potential at the root-soil interface (yᵣₒₒₜ), determined by environmental conditions and by soil and plant hydraulic properties, serves as a boundary value in soil and p
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