Academic literature on the topic 'Huge Pages'

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Journal articles on the topic "Huge Pages"

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Panwar, Ashish, Aravinda Prasad, and K. Gopinath. "Making Huge Pages Actually Useful." ACM SIGPLAN Notices 53, no. 2 (2018): 679–92. http://dx.doi.org/10.1145/3296957.3173203.

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Al-Kabi, Mohammed, Heider Wahsheh, Izzat Alsmadi, Emad Al-Shawakfa, Abdullah Wahbeh, and Ahmed Al-Hmoud. "Content-based analysis to detect Arabic web spam." Journal of Information Science 38, no. 3 (2012): 284–96. http://dx.doi.org/10.1177/0165551512439173.

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Search engines are important outlets for information query and retrieval. They have to deal with the continual increase of information available on the web, and provide users with convenient access to such huge amounts of information. Furthermore, with this huge amount of information, a more complex challenge that continuously gets more and more difficult to illuminate is the spam in web pages. For several reasons, web spammers try to intrude in the search results and inject artificially biased results in favour of their websites or pages. Spam pages are added to the internet on a daily basis,
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Feliu, Josué, Julio Sahuquillo, Salvador Petit, and José Duato. "Using Huge Pages and Performance Counters to Determine the LLC Architecture." Procedia Computer Science 18 (2013): 2557–60. http://dx.doi.org/10.1016/j.procs.2013.05.440.

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Hioual, Ouided, Sofiane Mounine Hemam, Ouassila Hioual, and Lyes Maif. "A Hybrid Approach for Web Pages Classification." Ingénierie des systèmes d information 27, no. 5 (2022): 747–55. http://dx.doi.org/10.18280/isi.270507.

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Currently, the internet is growing at an exponential rate and can cover just some required data. However, the immense amount of web pages makes the discovery of the target data more difficult for the user. Therefore, an efficient method to classify this huge amount of data is essential where web pages can be exploited to their full potential. In this paper, we propose an approach to classify Web pages based on their textual content. This approach is based on an unsupervised statistical technique (TF-IDF) for keyword extraction (textual content) combined with a supervised machine learning appro
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Rahul, kuma, Jain Anurag, and Agrawal Chetan. "SURVEY OF WEB CRAWLING ALGORITHMS." Advances in Vision Computing: An International Journal (AVC) 1, no. 2/3 (2019): 01–08. https://doi.org/10.5281/zenodo.3368066.

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The World Wide Web is the largest collection of data today and it continues increasing day by day. A web crawler is a program from the huge downloading of web pages from World Wide Web and this process is called Web crawling. To collect the web pages from www a search engine uses web crawler and the web crawler collects this by web crawling. Due to limitations of network bandwidth, time-consuming and hardware's a Web crawler cannot download all the pages, it is important to select the most important ones as early as possible during the crawling process and avoid downloading and visiting ma
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Rahul, kumar, Jain Anurag, and Agrawal Chetan. "SURVEY OF WEB CRAWLING ALGORITHMS." Advances in Vision Computing: An International Journal (AVC) 3, no. 3 (2016): 01–07. https://doi.org/10.5281/zenodo.3496822.

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The World Wide Web is the largest collection of data today and it continues increasing day by day. A web crawler is a program from the huge downloading of web pages from World Wide Web and this process is called Web crawling. To collect the web pages from www a search engine uses web crawler and the web crawler collects this by web crawling. Due to limitations of network bandwidth, time-consuming and hardware's a Web crawler cannot download all the pages, it is important to select the most important ones as early as possible during the crawling process and avoid downloading and visiting ma
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Rahul, kumar, Jain Anurag, and Agrawal Chetan. "SURVEY OF WEB CRAWLING ALGORITHMS." Advances in Vision Computing: An International Journal (AVC) 1, no. 2/3 (2014): 01–08. https://doi.org/10.5281/zenodo.3570232.

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The World Wide Web is the largest collection of data today and it continues increasing day by day. A web crawler is a program from the huge downloading of web pages from World Wide Web and this process is called Web crawling. To collect the web pages from www a search engine uses web crawler and the web crawler collects this by web crawling. Due to limitations of network bandwidth, time-consuming and hardware's a Web crawler cannot download all the pages, it is important to select the most important ones as early as possible during the crawling process and avoid downloading and visiting ma
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Rahul, kumar, Jain Anurag, and Agrawal Chetan. "SURVEY OF WEB CRAWLING ALGORITHMS." Advances in Vision Computing: An International Journal (AVC) 3, no. 3 (2016): 01–07. https://doi.org/10.5281/zenodo.3674659.

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The World Wide Web is the largest collection of data today and it continues increasing day by day. A web crawler is a program from the huge downloading of web pages from World Wide Web and this process is called Web crawling. To collect the web pages from www a search engine uses web crawler and the web crawler collects this by web crawling. Due to limitations of network bandwidth, time-consuming and hardware's a Web crawler cannot download all the pages, it is important to select the most important ones as early as possible during the crawling process and avoid downloading and visiting ma
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Kumar, Santosh, and Ravi Kumar. "WDPMA." International Journal of Information Technology and Web Engineering 16, no. 2 (2021): 1–24. http://dx.doi.org/10.4018/ijitwe.2021040101.

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The internet is very huge in size and increasing exponentially. Finding any relevant information from such a huge information source is now becoming very difficult. Millions of web pages are returned in response to a user's ordinary query. Displaying these web pages without ranking makes it very challenging for the user to find the relevant results of a query. This paper has proposed a novel approach that utilizes web content, usage, and structure data to prioritize web documents. The proposed approach has applications in several major areas like web personalization, adaptive website developme
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Ahamed, B. Bazeer, D. Yuvaraj, S. Shitharth, Olfat M. Mizra, Aisha Alsobhi, and Ayman Yafoz. "An Efficient Mechanism for Deep Web Data Extraction Based on Tree-Structured Web Pattern Matching." Wireless Communications and Mobile Computing 2022 (May 27, 2022): 1–10. http://dx.doi.org/10.1155/2022/6335201.

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The World Wide Web comprises of huge web databases where the data are searched using web query interface. Generally, the World Wide Web maintains a set of databases to store several data records. The distinct data records are extracted by the web query interface as per the user requests. The information maintained in the web database is hidden and retrieves deep web content even in dynamic script pages. In recent days, a web page offers a huge amount of structured data and is in need of various web-related latest applications. The challenge lies in extracting complicated structured data from d
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Dissertations / Theses on the topic "Huge Pages"

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Patel, Naman. "A Case for Protecting Huge Pages from the Kernel." Thesis, 2016. http://etd.iisc.ac.in/handle/2005/2936.

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Modern architectures support multiple size pages to facilitate applications that use large chunks of contiguous memory either for buffer allocation, application specific memory management, in-memory caching or garbage collection. Most general purpose processors support larger page sizes, for e.g. x86 architecture supports 2MB and 1GB pages while PowerPC architecture supports 64KB, 16MB, 16GB pages. Such larger size pages are also known as superpages or huge pages. With the help of huge pages TLB reach can be increased significantly. The Linux kernel can transparently use these huge pages to si
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Patel, Naman. "A Case for Protecting Huge Pages from the Kernel." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2936.

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Modern architectures support multiple size pages to facilitate applications that use large chunks of contiguous memory either for buffer allocation, application specific memory management, in-memory caching or garbage collection. Most general purpose processors support larger page sizes, for e.g. x86 architecture supports 2MB and 1GB pages while PowerPC architecture supports 64KB, 16MB, 16GB pages. Such larger size pages are also known as superpages or huge pages. With the help of huge pages TLB reach can be increased significantly. The Linux kernel can transparently use these huge pages to si
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Panwar, Ashish. "Operating System Support for Efficient Virtual Memory." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5788.

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Computers rely on the virtual memory abstraction to simplify programming, portability, physical memory management and ensure isolation among co-running applications. However, it creates a layer of indirection in the critical path of execution wherein the processor needs to translate an application-generated virtual address into the corresponding physical address before performing the computation. To accelerate the virtual-to-physical address translation, processors cache recently used addresses in Translation Lookaside Buffers (TLBs). Unfortunately, modern data-centric applications ex
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Huang, Han-ping, and 黃瀚平. "Efficient On-Demand Hash-Based Page Mapping Schemefor Huge Capacity Flash-Memory Storage Systems." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/90841521331969647215.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>97<br>As capacity of flash memory chips increased constantly, efficient management for flash memory storage systems becomes a critical issue. The major challenge comes from the balance between performance and cost, i.e., internal RAM required for the management. Although hybrid mapping schemes, which combine block-level mapping and page-level mapping to largely reduce internal RAM requirement while guarantee performance, are widely discussed in academia, most of them cannot well satisfy the most stringent cost requirement in industry. This paper adopts an on-demand h
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Huang, Liyi, and 黃立儀. "A Silent Film Leaping off the Page: A Study of the Crossover Strategies in The Invention of Hugo Cabret." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/83742559670599889069.

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碩士<br>國立臺東大學<br>兒童文學研究所<br>101<br>As a one-of-a-kind work of children’s literature, The Invention of Hugo Cabret not only crosses the genres of traditionally written novels, graphic novels and picture books, but also employs elements of camera movement mostly seen in movies, as if transforming into a paper movie. Owing to these stylistic features, the book has clinched many awards such as the Caldecott Medal. Such innovative attempts at genre-crossing have met with acclaim and recognition from around the globe. As common narrative themes blur the boundaries between various art forms, a ne
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Books on the topic "Huge Pages"

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Huge Coloring Book 355 Pages of Fun. Independently Published, 2022.

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Notebook, charliemarinell. Notebook: Huge Cock - 50 Sheets, 100 Pages - 8 X 10 Inches. Independently Published, 2020.

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Notebook, charliemarinell. Notebook: Huge Cock - 50 Sheets, 100 Pages - 6 X 9 Inches. Independently Published, 2020.

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Huge Colouring Book of Sea Animals: 126 Pages to Color Now! Independently Published, 2022.

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Anime Coloring Book: Huge Collection of Anime Coloring Pages for Fans! Independently Published, 2021.

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Nicholson, Helen. Anime Milfs Coloring Book: Huge Collection of Anime Milfs Coloring Pages for Fans! Independently Published, 2022.

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Mannekt, Zakariyya. Anime Milfs Coloring Book: Huge Collection of Anime Milfs Coloring Pages for Fans! Independently Published, 2022.

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Mcgee, Jonas. Anime Milfs Coloring Book: Huge Collection of Anime Milfs Coloring Pages for Fans! Independently Published, 2022.

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Franklin, Hoggry. Anime Milf Coloring Book: Huge Collection of Anime Milfs Coloring Pages for Fans! Independently Published, 2022.

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journals, Yobb. Giant Notebook: 600 Pages Journal, Huge Notebook with Lines for Composition and Appreciation Gift. Independently Published, 2020.

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Book chapters on the topic "Huge Pages"

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Fichte, Johannes K., Norbert Manthey, Julian Stecklina, and André Schidler. "Towards Faster Reasoners by Using Transparent Huge Pages." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58475-7_18.

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Malliotakis, Ioannis, Anastasios Papagiannis, Manolis Marazakis, and Angelos Bilas. "HugeMap: Optimizing Memory-Mapped I/O with Huge Pages for Fast Storage." In Euro-Par 2020: Parallel Processing Workshops. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71593-9_27.

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Chitsime, Angela, Vitima Ndovi, Zithe Machewere, et al. "The Influence of Celebrities and Religious Leaders in Addressing Rumours on Social Media." In Communicating COVID-19. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-41237-0_19.

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AbstractThe use of social media in health communication/promotion has been increasing over the past years due to its ability to engage and interact with audiences without the confines of physical boundaries. Social media is defined as activities, practices and behaviours among communities of users who gather online to share information, knowledge and opinions using conversational media. Social media has been the catalyst of misinformation, misconceptions and rumours around the COVID-19 pandemic, which have had a huge negative impact on adherence to preventive measures and uptake of COVID-19 va
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Li, Guoxi, Wenzhi Chen, Kui Su, Zhongyong Lu, and Zonghui Wang. "Hzmem: New Huge Page Allocator with Main Memory Compression." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65482-9_4.

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Yue, Lei, Tao Wu, Yang Shen, Jin Zhang, and Wenzhe Zhang. "HASLB: Huge Page Allocation Strategy Optimized for Load-Balance in Parallel Computing Programs." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2830-8_18.

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Singh, Mahesh Kumar, Om Prakash Rishi, Anukrati Sharma, and Zaved Akhtar. "Knowledge Extraction Through Page Rank Using Web-Mining Techniques for E-Business." In Advances in Business Information Systems and Analytics. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2234-8.ch001.

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Internet plays a vital role for doing the business. It provides platform for creating huge number of customers for ease of business. E-business organizations are growing rapidly and doubly in every minute; World Wide Web (WWW) provides huge information for the Internet users. The accesses of user's behavior are recorded in web logs. This information seems to be very helpful in an E-business environment for analysis and decision making. Mining of web data come across many new challenges with enlarged amount of information on data stored in web logs. The search engines play key role for retrievi
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Gao Peng, Han Hao, and Tokuda Takehiro. "Stable Partial Information Extraction: A Self-Evolving Hybrid Mechanism." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-177-9-49.

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The Internet is providing a huge amount of information/knowledge through Web pages. For personal and effective use of such resources, the partial information extraction technology breaks a new path to enable end-users to obtain and integrate only needed information from various Web pages into original compositions. However the traditional XPath-only extraction method would fail in case Web sites use different templates to construct Web pages or change the layout of Web pages, which we call as the stability problem. In this paper, we propose a novel hybrid extraction mechanism for stably extrac
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Matthews, Clifford. "API RP 571: Damage Mechanisms." In The API ICP Exam Handbook: Complete Guide to Passing the API 510/570/653 ICP Exams. ASME, 2023. http://dx.doi.org/10.1115/1.862api_ch10.

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API RP 571: Damage Mechanisms Affecting Fixed Equipment in the Refining Industry appears in all three ICP BoKs. It developed from old IRE (Inspection of Refinery Equipment) documents and has swelled in technical detail with each new edition. The 2020 edition now describes 67 DMs over 370+ pages and so contains huge amounts of technical detail.
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Umamageswari, B., and R. Kalpana. "Web Harvesting." In The Dark Web. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3163-0.ch010.

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Web mining is done on huge amounts of data extracted from WWW. Many researchers have developed several state-of-the-art approaches for web data extraction. So far in the literature, the focus is mainly on the techniques used for data region extraction. Applications which are fed with the extracted data, require fetching data spread across multiple web pages which should be crawled automatically. For this to happen, we need to extract not only data regions, but also the navigation links. Data extraction techniques are designed for specific HTML tags; which questions their universal applicabilit
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Umamageswari, B., and R. Kalpana. "Web Harvesting." In Advances in Data Mining and Database Management. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0613-3.ch014.

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Web mining is done on huge amounts of data extracted from WWW. Many researchers have developed several state-of-the-art approaches for web data extraction. So far in the literature, the focus is mainly on the techniques used for data region extraction. Applications which are fed with the extracted data, require fetching data spread across multiple web pages which should be crawled automatically. For this to happen, we need to extract not only data regions, but also the navigation links. Data extraction techniques are designed for specific HTML tags; which questions their universal applicabilit
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Conference papers on the topic "Huge Pages"

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Panwar, Ashish, Aravinda Prasad, and K. Gopinath. "Making Huge Pages Actually Useful." In ASPLOS '18: Architectural Support for Programming Languages and Operating Systems. ACM, 2018. http://dx.doi.org/10.1145/3173162.3173203.

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Aksic, Milutin, Hasan Redzovic, and Aleksandra Smiljanic. "Application of huge pages to the netmap platform." In 2017 25th Telecommunication Forum (TELFOR). IEEE, 2017. http://dx.doi.org/10.1109/telfor.2017.8249300.

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Panwar, Ashish, Naman Patel, and K. Gopinath. "A Case for Protecting Huge Pages from the Kernel." In APSys '16: 7th ACM SIGOPS Asia-Pacific Workshop on Systems. ACM, 2016. http://dx.doi.org/10.1145/2967360.2967371.

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Jia, Weiwei, Jiyuan Zhang, Jianchen Shan, Yiming Du, Xiaoning Ding, and Tianyin Xu. "HugeGPT: Storing Guest Page Tables on Host Huge Pages to Accelerate Address Translation." In 2023 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT). IEEE, 2023. http://dx.doi.org/10.1109/pact58117.2023.00014.

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Calder, Alan C., Catherine Feldman, Eva Siegmann, et al. "On Using Linux Kernel Huge Pages with FLASH, an Astrophysical Simulation Code." In 2022 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2022. http://dx.doi.org/10.1109/cluster51413.2022.00070.

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Gangar, Parth, Ashish Panwar, and K. Gopinath. "EMD: Fair and Efficient Dynamic Memory De-bloating of Transparent Huge Pages." In ISMM '25: 2025 ACM SIGPLAN International Symposium on Memory Management. ACM, 2025. https://doi.org/10.1145/3735950.3735952.

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Avdyev, Marat Aleksandrovich. "How can a student prove the ABC hypothesis using prime numbers, quantum mechanics and creative imagination?" In Аll-Russian scientific and practical conference. TSNS Interaktiv Plus, 2024. http://dx.doi.org/10.21661/r-562378.

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The ABC conjecture states that for three mutually prime numbers A, B, and C satisfying the relation A + B = C, the product of the prime divisors A, B, and C is usually not much less than C. The theorem is very simple to formulate, but extremely difficult to prove. Some five hundred pages have been spent by some of the most eminent mathematicians in the Western world trying to find a proof - but the result is anything but ambiguous and difficult to verify. Meanwhile, any student with advanced training in the exact sciences can understand and prove the ABC hypothesis, relying on creative imagina
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Teoh, Jessie Poh Lin, and Tong Ming Lim. "Click-Through Rate (Ctr) Prediction for Online Advertising." In International Conference on Digital Transformation and Applications (ICDXA 2020). Tunku Abdul Rahman University College, 2020. http://dx.doi.org/10.56453/icdxa.2020.1004.

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Click-Through Rate (CTR) prediction is used to estimate the probability of a user to click on an item in an online advertising. CTR provides insights in supporting effective online advertising that generates huge advertising revenues and also improve users’ satisfaction. Researchers use various features in their proposed CTR prediction models, and they can be generally classified as advertisement feature, user feature and ad-context feature. Advertisement feature explains “How” an ad serving is, user feature illustrates “Who” is browsing the web pages and lastly the ad-context feature describe
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Cao, Wenqi, Ling LiuS, Gong Su, and Arun Iyengar. "Efficient Huge Page Management with Xpage." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9672050.

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Xiaoxiong, Wang, Wu Jinchun, and Wang Haiyan. "The influence of color on web page complexity and color recommendation." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001721.

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The complexity of a web page has a great influence on the user's understanding and comprehension. There are many factors that can affect page complexity, such as color, block number, number of texts, etc. Color is not only a factor that affects complexity, but also a factor that attracts the user's attention most on the page. Previous studies on color mainly focused on the basic attributes, such as hue, purity and brightness. However, there were few studies that utilized quantitative calculation methods to evaluate color complexity and webpage color matching calculation. Thus, the present stud
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