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| Xiannong Meng is a professor of computer science (CS) at Bucknell University. He received his PhD in CS from Worcester Polytechnic Institute in 1990, and taught at the University of Texas–Pan American (now the University of Texas Rio Grande Valley) from 1994 to 2001. He joined Bucknell in 2001. His research and teaching interests include information retrieval, distributed computing, intelligent web search, operating systems, computer networks, and CS education. His PhD research focused on performance measurement in computer networks with multiple classes of traffic, now known as “multimedia networks.” The work involved investigating the performance of network architectures and protocols that support multimedia, using measurement, simulation, and queueing models as tools. Later on, in the late 1990s, Xiannong and colleagues worked on intelligent web search when they built some small-scale search engines that employ relevance feedback technologies, which allow users to search the web interactively. More specifically, the user enters a search query and the search engine returns an initial set of results based on the query. The user can mark the top results as relevant or irrelevant before sending the feedback to the search engine. The search engine, based on this feedback, refines the search and generates a new set of results. This process can continue at the user’s preference. Xiannong is also interested in how to effectively teach the subject of information retrieval at the undergraduate level. He successfully offered the first web information retrieval course at Bucknell in early 2000. The course combined computer network components and information retrieval, and students were asked to build a search engine using a high-level programming language and term frequency–inverse document frequency as the basic search strategy. He continues to research text search that can be used in many different application areas. Xiannong and colleagues recently investigated the general topic of undergraduate CS curricula in both the US and China. They published some initial results from the comparison in the 2019 ACM Conference on Global Computing Education. Xiannong has been a reviewer for Computing Reviews since 2009. |
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1 - 10 of 10
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Arabic authorship attribution: an extensive study on Twitter posts Altakrori M., Iqbal F., Fung B., Ding S., Tubaishat A. ACM Transactions on Asian and Low-Resource Language Information Processing 18(1): 1-51, 2019. Type: Article
Altakrori et al. present an excellent study on Arabic authorship attributes from Twitter posts. The coverage of the subject is very extensive. The authors review a large body of related authorship attribution literature in short messag...
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Mar 25 2019 |
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Data science: a comprehensive overview Cao L. ACM Computing Surveys 50(3): 1-42, 2017. Type: Article, Reviews: (1 of 2)
This paper brings together a cohesive picture of data science, a new interdisciplinary academic field, from many different perspectives....
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Jan 11 2018 |
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Text data management and analysis: a practical introduction to information retrieval and text mining Zhai C., Massung S., Association for Computing Machinery and Morgan & Claypool, New York, NY, 2016. 530 pp. Type: Book, Reviews: (4 of 4)
Zhai and Massung’s new book Text data management and analysis provides a fresh new look at the areas of text retrieval, text mining, and text management. Traditionally, these three areas are separate, each with a rich ...
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Nov 14 2016 |
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Discovering computer science: interdisciplinary problems, principles, and Python programming Havill J., Chapman & Hall/CRC, Boca Raton, FL, 2015. 750 pp. Type: Book (978-1-482254-14-3)
Havill’s book introduces computer science in a very unique and effective way. The book discusses fundamental computer science concepts such as abstraction, repetition, condition, and recursion through real-world problems such...
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Feb 3 2016 |
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Neighborhood-user profiling based on perception relationship in the micro-blog scenario Zheng J., Zhang B., Yue X., Zou G., Ma J., Jiang K. Journal of Web Semantics 34(C): 13-26, 2015. Type: Article
Evaluating user profiles in a micro-blog environment for the purpose of recommendation is a challenge because of the limited amount of information available in short text. Zheng et al. present the framework of the neighborhood user pro...
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Dec 14 2015 |
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The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students Lepp A., Barkley J., Karpinski A. Computers in Human Behavior 31343-350, 2014. Type: Article
The authors conclude, through a large-scale empirical study at a large, Midwestern state university, that cell phone use (CPUse) among college students has a negative impact on their academic performance (measured by grade point averag...
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Aug 5 2015 |
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Evaluating two-stream CNN for video classification Ye H., Wu Z., Zhao R., Wang X., Jiang Y., Xue X. ICMR 2015 (Proceedings of the 5th ACM International Conference on Multimedia Retrieval, Shanghai, China, Jun 23-26, 2015) 435-442, 2015. Type: Proceedings
Video classification is a challenging issue. One of the difficulties is that “there is [a] very limited amount of training data with manual annotations in the video domain.” A two-stream convolutional neural network...
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Aug 4 2015 |
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Data preprocessing in data mining García S., Luengo J., Herrera F., Springer Publishing Company, Incorporated, Cham, Switzerland, 2015. 320 pp. Type: Book (978-3-319102-46-7)
This book is a comprehensive collection of data preprocessing techniques used in data mining. Any readers who practice data mining will find it beneficial, as it provides detailed descriptions of various data preprocessing techniques r...
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Dec 16 2014 |
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Detecting F-formations as dominant sets Hung H., Kröse B. ICMI 2011 (Proceedings of the 13th International Conference on Multimodal Interfaces, Alicante, Spain, Nov 14-18, 2011) 231-238, 2011. Type: Proceedings
The authors discuss the method of using F-formations to detect dominant sets in a crowd. According to the authors, “A dominant set is a form of maximal clique which occurs in edge weighted graphs.” Note that this re...
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Feb 24 2012 |
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Hybrid neural network and case based reasoning system for Web user behavior clustering and classification Zehraoui F., Kanawati R., Salotti S. International Journal of Hybrid Intelligent Systems 7(3): 171-186, 2010. Type: Article
The question of how to classify visitors of e-commerce systems into buyers and nonbuyers is of great importance in today’s world of pervasive e-commerce. The typical behavior of visitors to an e-commerce Web site can be model...
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Mar 21 2011 |
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