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Ying Zhang

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Publications by Ying Zhang (bibliography)

» 2008 «

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Liu, Yuting, Gao, Bin, Liu, Tie-Yan, Zhang, Ying, Ma, Zhiming, He, Shuyuan and Li, Hang (2008): BrowseRank: letting web users vote for page importance. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008. pp. 451-458. Available online

“This paper proposes a new method for computing page importance, referred to as BrowseRank. The conventional approach to compute page importance is to exploit the link graph of the web and to build a model based on that graph. For instance, PageRank is such an algorithm, which employs a discrete-time Markov process as the model. Unfortunately, the link graph might be incomplete and inaccurate with respect to data for determining page importance, because links can be easily added and deleted by web content creators. In this paper, we propose computing page importance by using a 'user browsing graph' created from user behavior data. In this graph, vertices represent pages and directed edges represent transitions between pages in the users' web browsing history. Furthermore, the lengths of staying time spent on the pages by users are also included. The user browsing graph is more reliable than the link graph for inferring page importance. This paper further proposes using the continuous-time Markov process on the user browsing graph as a model and computing the stationary probability distribution of the process as page importance. An efficient algorithm for this computation has also been devised. In this way, we can leverage hundreds of millions of users' implicit voting on page importance. Experimental results show that BrowseRank indeed outperforms the baseline methods such as PageRank and TrustRank in several tasks.”

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Zhang, Ying and Li, Yuelin (2008): A user-centered functional metadata evaluation of moving image collections. In JASIST - Journal of the American Society for Information Science and Technology, 59 (8) pp. 1331-1346

» 2007 «

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Jansen, Bernard J., Zhang, Mimi and Zhang, Ying (2007): Brand awareness and the evaluation of search results. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 1139-1140. Available online

“We investigate the effect of search engine brand (i.e., the identifying name or logo that distinguishes a product from its competitors) on evaluation of system performance. This research is motivated by the large amount of search traffic directed to a handful of Web search engines, even though most are of equal technical quality with similar interfaces. We conducted a laboratory study with 32 participants to measure the effect of four search engine brands while controlling for the quality of search engine results. There was a 25% difference between the most highly rated search engine and the lowest using average relevance ratings, even though search engine results were identical in both content and presentation. Qualitative analysis suggests branding affects user views of popularity, trust and specialization. We discuss implications for search engine marketing and the design of search engine quality studies.”

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Zhang, Ying, Travis, Adrian R. L. and Collings, Neil (2007): Evaluation of Multi-sensory Feedback on the Usability of a Virtual Assembly Environment. In Journal of Multimedia, 2 (1) pp. 38-47

» 2006 «

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Li, Yuelin, Zhang, Xiangmin, Zhang, Ying and Liu, Jingjing (2006): A comparative study of the effect of search feature design on user experience in digital libraries (DLs). In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2006. pp. 669-670. Available online

“This study investigates the impact of different search feature designs in DLs on user search experience. The results indicate that the impact is significant in terms of the number of queries issued, search steps, zero-hits pages returned, and search errors.”

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Li, Wei, Zhang, Li, Huang, Darong and Zhang, Ying (2006): Research on the Reconstruction Technology of Diagnosis Sytstem Based on Immune Mechanism. In: Yao, Yiyu, Shi, Zhongzhi, Wang, Yingxu and Kinsner, Witold (eds.) Proceedings of the Firth IEEE International Conference on Cognitive Informatics ICCI 2006 July 17-19, 2006, Beijing, China. pp. 623-628. Available online

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Zhang, Ying, Fernando, Terrence, Xiao, Hannan and Travis, Adrian R. L. (2006): Evaluation of Auditory and Visual Feedback on Task Performance in a Virtual Assembly Environment. In Presence: Teleoperators and Virtual Environments, 15 (6) pp. 613-626

» 2005 «

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Zhang, Ying, Huang, Fei and Vogel, Stephan (2005): Mining translations of OOV terms from the web through cross-lingual query expansion. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2005. pp. 669-670. Available online

“Translating out-of-vocabulary (OOV) terms is a great challenge for the Cross-lingual Information Retrieval and Data-driven Machine Translation systems. Several approaches have been proposed to mine translations for OOV terms from the web, especially from pages containing mixed languages. In this paper, we propose a novel approach to automatically translate OOV terms on the fly through cross-lingual query expansion. The proposed approach does not require any web crawling and has achieved an inclusion rate of 95% and overall”

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» 2004 «

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Zhang, Ying and Vines, Phil (2004): Using the web for automated translation extraction in cross-language information retrieval. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2004. pp. 162-169. Available online

“There have been significant advances in Cross-Language Information Retrieval (CLIR) in recent years. One of the major remaining reasons that CLIR does not perform as well as monolingual retrieval is the presence of out of vocabulary (OOV) terms. Previous work has either relied on manual intervention or has only been partially successful in solving this problem. We use a method that extends earlier work in this area by augmenting this with statistical analysis, and corpus-based translation disambiguation to dynamically discover translations of OOV terms. The method can be applied to both Chinese-English and English-Chinese CLIR, correctly extracting translations of OOV terms from the Web automatically, and thus is a significant improvement on earlier work.”

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Zhang, Ying and Vines, Phil (2004): Detection and translation of OOV terms prior to query time. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2004. pp. 524-525. Available online

“Accurate cross-language information retrieval requires that query terms be correctly translated. Several new techniques to improve the translation of out of vocabulary terms in English-Chinese cross-language information retrieval have been developed. However, these require queries and a document collection to enable translation disambiguation. Although effective, they involve much processing and searching of the Web at query time, and may not be practical in a production web search engine. In this work, we consider what tasks maybe carried out beforehand, the goal being to reduce the processing required at query time. We have successfully developed new techniques to extract and translate out of vocabulary terms using the Web and add them into a translation dictionary prior to query time.”

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Changes to this page (author)

13 Feb 2010: Enabled abstracts to be shown on Ying Zhang's author page.
02 Jun 2009: Author was edited

01 Jun 2009: Author was edited
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Publication statistics

Publication period:2004-2008
Publication count:10
Number of co-authors:21

Productive colleagues

Ying Zhang's 3 most productive colleagues in number of publications:

Bernard J. Jansen:29
Hang Li:20
Li Zhang:19

Collaboration count

Number of publications with 3 favourite co-authors:

Yuelin Li:2
Adrian R. L. Travis:2
Phil Vines:2

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Learn more about Ying Zhang:
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- ACM
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Conference Calendar

Mar 22

Workshop on Pervasive healthcare in the home : Supporting patient motivation and engagement

Mar 22

UX People

Mar 22

ETRA '10 - Eye Tracking Research & Applications Symp.

Mar 21

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-- David Liddle, From Bringing Design to Software, edited by Terry Winograd, 1996 ”

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Ying Zhang

Publications by Ying Zhang (bibliography)

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» 2007 «

» 2006 «

» 2005 «

» 2004 «

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