Publication statistics

Pub. period:1989-2008
Pub. count:13
Number of co-authors:25



Co-authors

Number of publications with 3 favourite co-authors:

Chandra Kambhamettu:
Peter Brusiloviksy:
Vladimir Cherkassky:

 

 

Productive colleagues

Qi Li's 3 most productive colleagues in number of publications:

Peter Brusilovsky:63
Tao Li:31
Li Zhang:25
 
 
 

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Qi Li

 

Publications by Qi Li (bibliography)

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2008
 
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Ahn, Jae-wook, Brusilovsky, Peter, He, Daqing, Grady, Jonathan and Li, Qi (2008): Personalized web exploration with task models. In: Proceedings of the 17th international conference on World Wide Web 2008. pp. 1-10.

 
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Hsiao, I-Han, Li, Qi and Lin, Yi-Ling (2008): Educational social linking in example authoring. In: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia 2008. pp. 229-230. Available online

Each educational resource management website relies on an authoring tool to provide example content. It takes time and experience for authors to create valuable content. Providing support during authoring can affect the quality and quantity of the examples. In this paper we propose a mashup solution to automatically link community wisdom to authors and ease various difficulties in authoring.

© All rights reserved Hsiao et al. and/or ACM Press

 
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Peng, Lifang, Chen, Jinghua and Li, Qi (2008): The e-commerce transaction statistics in developing countries. In: Fensel, Dieter and Werthner, Hannes (eds.) Proceedings of the 10th International Conference on Electronic Commerce - ICEC 2008 August 19-22, 2008, Innsbruck, Austria. p. 23. Available online

 
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Ahn, Jae-wook, Brusilovsky, Peter, He, Daqing, Grady, Jonathan and Li, Qi (2008): Personalized web exploration with task models. In: Proceedings of the 2008 International Conference on the World Wide Web 2008. pp. 1-10. Available online

Personalized Web search has emerged as one of the hottest topics for both the Web industry and academic researchers. However, the majority of studies on personalized search focused on a rather simple type of search, which leaves an important research topic -- the personalization in exploratory searches -- as an under-studied area. In this paper, we present a study of personalization in task-based information exploration using a system called TaskSieve. TaskSieve is a Web search system that utilizes a relevance feedback based profile, called a "task model", for personalization. Its innovations include flexible and user controlled integration of queries and task models, task-infused text snippet generation, and on-screen visualization of task models. Through an empirical study using human subjects conducting task-based exploration searches, we demonstrate that TaskSieve pushes significantly more relevant documents to the top of search result lists as compared to a traditional search system. TaskSieve helps users select significantly more accurate information for their tasks, allows the users to do so with higher productivity, and is viewed more favorably by subjects under several usability related characteristics.

© All rights reserved Ahn et al. and/or ACM Press

2007
 
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He, Daqing, Brusiloviksy, Peter, Grady, Jonathan, Li, Qi and Ahn, Jae-wook (2007): How Up-to-date should it be? the Value of Instant Profiling and Adaptation in Information Filtering. In: 2007 IEEE / WIC / ACM International Conference on Web Intelligence WI 2007 2-5 November, 2007, Silicon Valley, CA, USA. pp. 699-705. Available online

2006
 
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Ye, Jieping, Xiong, Tao, Li, Qi, Janardan, Ravi, Bi, Jinbo, Cherkassky, Vladimir and Kambhamettu, Chandra (2006): Efficient model selection for regularized linear discriminant analysis. In: Yu, Philip S., Tsotras, Vassilis J., Fox, Edward A. and Liu, Bing (eds.) Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management November 6-11, 2006, Arlington, Virginia, USA. pp. 532-539. Available online

 
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Peng, Lifang, Chen, Zhong and Li, Qi (2006): Model and method for evaluating creditability of C2C electronic trade. In: Fox, Mark S. and Spencer, Bruce (eds.) Proceedings of the 8th International Conference on Electronic Commerce - ICEC 2006 2006, Fredericton, New Brunswick, Canada. pp. 244-249. Available online

2005
 
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Li, Qi and Liang, Ting-Peng (eds.) Proceedings of the 7th International Conference on Electronic Commerce - ICEC 2005 August 15-17, 2005, Xian, China.

 
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Li, Qi and Zhang, Xianfeng (2005): The application of exchange oriented three-dimensional e-commerce model: cases based explanation. In: Li, Qi and Liang, Ting-Peng (eds.) Proceedings of the 7th International Conference on Electronic Commerce - ICEC 2005 August 15-17, 2005, Xian, China. pp. 145-150. Available online

 
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Zhang, Li and Li, Qi (2005): Probe into construction of e-commerce major in undergraduate degree: the experience of Xi'an institute of post and telecoms. In: Li, Qi and Liang, Ting-Peng (eds.) Proceedings of the 7th International Conference on Electronic Commerce - ICEC 2005 August 15-17, 2005, Xian, China. pp. 758-761. Available online

2004
 
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Li, Qi and Zhang, Xianfeng (2004): Three dimensional model: an analyzing sketch for e-commerce theories and applications. In: Janssen, Marijn, Sol, Henk G. and Wagenaar, Ren W. (eds.) Proceedings of the 6th International Conference on Electronic Commerce - ICEC 2004 October 25-27, 2004, Delft, The Netherlands. pp. 207-212. Available online

2003
 
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Li, Tao, Ogihara, Mitsunori and Li, Qi (2003): A comparative study on content-based music genre classification. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2003. pp. 282-289. Available online

Content-based music genre classification is a fundamental component of music information retrieval systems and has been gaining importance and enjoying a growing amount of attention with the emergence of digital music on the Internet. Currently little work has been done on automatic music genre classification, and in addition, the reported classification accuracies are relatively low. This paper proposes a new feature extraction method for music genre classification, DWCHs. DWCHs stands for Daubechies Wavelet Coefficient Histograms. DWCHs capture the local and global information of music signals simultaneously by computing histograms on their Daubechies wavelet coefficients. Effectiveness of this new feature and of previously studied features are compared using various machine learning classification algorithms, including Support Vector Machines and Linear Discriminant Analysis. It is demonstrated that the use of DWCHs significantly improves the accuracy of music genre classification.

© All rights reserved Li et al. and/or ACM Press

1989
 
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Zwahlen, Helmut T., Yu, Jing, Xiong, Shaolin, Li, Qi and Rice, John W. (1989): Night Time Shape Recognition of Reflectorized Warning Plates as a Function of Full Reflectorization, Borders Only Reflectorization and Target Brightness. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 970-974.

A study, using 11 subjects sitting in a stationary car on an unused airport runway with low beams on, was conducted to determine the distance at which a shape coded, white, reflectorized warning plate can be recognized at night as a function of the amount of reflectorization (either fully reflectorized or borders only reflectorized) and as a function of target brightness. Recognition distances were recorded for a balanced and randomized combination of 30 experimental conditions consisting of 3 different specific intensity levels of target brightness (high, prismatic sheeting material, 1080 cd/fc/sq ft at .2 degree observation angle and -4 degrees entrance angle; medium, encapsulated lens, 305 cd/fc/sq ft; and low, embedded or enclosed lens, 105 cd/fc/sq ft), 5 different target shapes of equal area (18 square inches, rectangle, square, triangle, circle and octagon), and two different types of reflectorization (targets that were fully reflectorized and targets that had only 4.25 square inches along their borders reflectorized). A car heading of -3 degrees to the left was used for the experiment to maximize target illumination. The results indicate that increasing target brightness had either no effect or only a small detrimental effect on correct target recognition distances for both the full reflectorization and borders only reflectorization, and that the triangle (the object with the fewest and longest sides) was recognized at the largest distance and with the fewest errors for both the full reflectorization and borders only reflectorization. The embedded or enclosed lens sheeting material transmitted the most information and produced the highest percentage of correct responses. Targets with the borders only reflectorized were also recognized further away than the fully reflectorized targets (15% further for 23.6% reflectorization). Implications of these results for the design of shape coded reflectorized warning plates for night use for both traffic and industrial settings are discussed.

© All rights reserved Zwahlen et al. and/or Human Factors Society

 
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