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1 - 10 of 41
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 Teaching and learning in information retrieval
Efthimiadis E., Fernndez-Luna J., Huete J., MacFarlane A., Springer Publishing Company, Incorporated, New York, NY, 2011. 228 pp. Type: Book (978-3-642225-10-9)
This edited series of readings on teaching (and learning) information retrieval (IR), an important computing subdiscipline, is a good source of information on how to teach IR in college courses. Authors from a variety of countries and ...
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Jul 3 2012 |
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String searching engine for virus scanning
Pao D., Wang X., Wang X., Cao C., Zhu Y. IEEE Transactions on Computers 60(11): 1596-1609, 2011. Type: Article
This most interesting paper presents a technical solution, as the authors develop a memory-efficient hardware tool to perform string searching for virus scanning. For those not familiar with virus scanning, virus-scanning programs ofte...
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Mar 2 2012 |
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Intelligent fuzzy queries for multimedia databases
Koyuncu M. International Journal of Intelligent Systems 26(10): 930-951, 2011. Type: Article
Koyuncu presents an intelligent information systems architecture, discusses object-oriented data modeling, and shows a fuzzy inference model with Boolean operators. It is interesting to see that the author uses soccer examples....
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Feb 21 2012 |
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Document clustering using NMF and fuzzy relation
Park S., An D., Yoo H. ICUIMC 2011 (Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, Seoul, Korea, Feb 21-23, 2011) 1-5, 2011. Type: Proceedings
Park et al. offer a unique combination of nonnegative matrix factorization (NMF) and fuzzy relations to produce a better document clustering algorithm. They note that clustering is useful for document organization, automatic summarizat...
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Jun 28 2011 |
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Information retrieval: implementing and evaluating search engines
Büttcher S., Clarke C., Cormack G., The MIT Press, Cambridge, MA, 2010. 632 pp. Type: Book (978-0-262026-51-2)
This book is a fine addition to the growing literature on information retrieval (IR). Like the Frakes and Baeza-Yates book that came before it [1], this book offers algorithms to implement a retrieval system. Moreover, exercises, a lis...
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Jan 31 2011 |
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A fuzzy regression and optimization approach for setting target levels in software quality function deployment
Sener Z., Karsak E. Software Quality Journal 18(3): 323-339, 2010. Type: Article
This paper extends previous work on applying fuzzy regression in order to optimize the process of setting software quality target levels. Quality function deployment consists of “product planning, part deployment, process pla...
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Jan 12 2011 |
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A cluster analysis of scholar and journal bibliometric indicators
Franceschet M. Journal of the American Society for Information Science and Technology 60(10): 1950-1964, 2009. Type: Article
This paper investigates the use of correlation analysis and cluster analysis for grouping several bibliometric indicators into correlation clusters, in order to evaluate scholars, journals, and even universities....
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Mar 15 2010 |
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Thumbs-Up: a game for playing to rank search results
Dasdan A., Drome C., Kolay S., Alpern M., Han A., Chi T., Hoover J., Davtchev I., Verma S. HCOMP 2009 (Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, Jun 28, 2009) 36-37, 2009. Type: Proceedings
Dasdan et al. generate a “game with a purpose,” called Thumbs-Up, to address the document ranking problem in document retrieval (in this case, documents are Web pages). The idea is that several players are given a q...
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Nov 10 2009 |
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Distinguishing humans from robots in Web search logs: preliminary results using query rates and intervals
Duskin O., Feitelson D. WSCD 2009 (Proceedings of the 2009 Workshop on Web Search Click Data, Barcelona, Spain, Feb 9, 2009) 15-19, 2009. Type: Proceedings
This paper raises an interesting issue about distinguishing between humans and robots performing a search, when processing Web search logs. This may not seem like an important issue, but it is necessary to ensure proper evaluation of t...
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Jul 24 2009 |
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Query performance prediction for information retrieval based on covering topic score
Lang H., Wang B., Jones G., Li J., Ding F., Liu Y. Journal of Computer Science and Technology 23(4): 590-601, 2008. Type: Article
This paper offers a very interesting mechanism for predicting query performance in an information retrieval system. Lang et al. use a statistical method called covering topic score; it is a quick, yet effective means of accomplishing t...
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Jun 15 2009 |
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