Number of co-authors:23
Number of publications with 3 favourite co-authors:Chaoqun Ni:Jiepu Jiang:John Lee:
Daqing He's 3 most productive colleagues in number of publications:Peter Brusilovsky:63Douglas W. Oard:29Qi Li:13
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Publications by Daqing He (bibliography)
Jiang, Jiepu, Yue, Zhen, Han, Shuguang and He, Daqing (2012): Finding readings for scientists from social websites. In: Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2012. pp. 1075-1076. http://dx.doi.org/10.1145/2348283.2348476
Current search systems are designed to find relevant articles, especially topically relevant ones, but the notion of relevance largely depends on search tasks. We study the specific task that scientists are searching for worth-reading articles beneficial for their research. Our study finds: users' perception of relevance and preference of reading are only moderately correlated; current systems can effectively find readings that are highly relevant to the topic, but 36% of the worth-reading articles are only marginally relevant or even non-relevant. Our system can effectively find those worth-reading but marginally relevant or non-relevant articles by taking advantages of scientists' recommendations in social websites.
© All rights reserved Jiang et al. and/or ACM Press
Jiang, Jiepu, He, Daqing and Ni, Chaoqun (2011): Social reference: aggregating online usage of scientific literature in CiteULike for clustering academic resources. In: JCDL11 Proceedings of the 2010 Joint International Conference on Digital Libraries 2011. pp. 401-402. http://dx.doi.org/10.1145/1998076.1998155
Citation-based methods have been widely studied and employed for clustering academic resources and mapping science. Although effective, these methods suffer from citation delay. In this study, we extend reference and citation analysis to a broader notion from social perspective. We coin the term "social reference" to refer to the references of literatures in social academic web environment. We propose clustering methods using social reference information from CiteULike. We experiment for journal clustering and author clustering using social reference and compare with citation-based methods. Our experiments indicate: first, social reference implies connections among literatures which are as effective as citation in clustering academic resources; second, in practical settings, social reference-based clustering methods are not as effective as citation-based ones due to the sparseness of social reference data, but they can outperform in clustering new resources that have few citation.
© All rights reserved Jiang et al. and/or their publisher
Wu, Dan, He, Daqing, Jiang, Jiepu, Dong, Wuyi and Vo, Kim Thien (2011): Academic research in iSchools: state and implications. In: Proceedings of the 2011 iConference 2011. pp. 203-210. http://dx.doi.org/10.1145/1940761.1940789
As the information field rapidly evolves, so do the academic research programs in Information Schools (iSchools). In this paper, we examine the current academic research state of iSchools through quantitative study of publically-available online data related to the educational background, research interests, publications, research funding, and collaborations. Some important findings in our study include that iSchools are appropriate institutions for integrating researchers from diverse disciplines; the intersection of information, technology, and users has been established as the core research focus of iSchools; iSchools are developing ways to understand, integrate, and model the interaction among related disciplines; iSchools are attracting external support from a diverse group of funding agencies; and iSchools have forged strong connections and collaborations in order to build one discipline.
© All rights reserved Wu et al. and/or ACM Press
Bowler, Leanne, He, Daqing and Hong, Wan Yin (2011): Who is referring teens to health information on the web?: hyperlinks between blogs and health web sites for teens. In: Proceedings of the 2011 iConference 2011. pp. 238-243. http://dx.doi.org/10.1145/1940761.1940794
This study analyzes the hyperlinks leading to six teen health web sites from a specific form of social media -- blogs -- in order to discover who is referring teens to reliable health information. This was done by gathering inlink data using Google Webmaster Tools and then classifying inlink sources by type of creator. The study found that the teen health web sites in this study had a weak level of referrals from health-related groups compared to other organizations such as schools, and public libraries. With regard to blogs, we saw that personal blogs out-numbered blogs in any other category. We saw little evidence of blogs -- either personal or official -- created by health care professionals, a group which might be expected to actively refer teens to reliable health information. The weak network of inlinks leading from reliable health care providers is a lost opportunity for health care professionals to reach young people. Due to the weak network of inlinks from reliable health information sources, teens may not be accessing accurate and reliable health information. This could have a potential cost in terms of health outcomes. The results of this study present a snap shot rather than all-inclusive view of the visibility of teen health web sites and offer a starting point for further investigation.
© All rights reserved Bowler et al. and/or ACM Press
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.
He, Daqing, Mao, Ming, Peng, Yefei and Park, Jongdo (2008): Dilight: providing flexible and knowledge rich access to support digital library learning. In: JCDL08 Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008. p. 426. http://doi.acm.org/10.1145/1378889.1378973
Wu, Dan and He, Daqing (2008): Ice-tea: an interactive cross-language search engine with translation enhancement. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008. p. 882. http://doi.acm.org/10.1145/1390334.1390556
He, Daqing and Wu, Dan (2008): Translation enhancement: a new relevance feedback method for cross-language information retrieval. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun and Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 729-738. http://doi.acm.org/10.1145/1458082.1458180
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. http://doi.acm.org/10.1145/1367497.1367499
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
Ahn, Jae-wook, Brusilovsky, Peter, Grady, Jonathan, He, Daqing and Syn, Sue Yeon (2007): Open user profiles for adaptive news systems: help or harm?. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 11-20. http://doi.acm.org/10.1145/1242572.1242575
Over the last five years, a range of projects have focused on progressively more elaborated techniques for adaptive news delivery. However, the adaptation process in these systems has become more complicated and thus less transparent to the users. In this paper, we concentrate on the application of open user models in adding transparency and controllability to adaptive news systems. We present a personalized news system, YourNews, which allows users to view and edit their interest profiles, and report a user study on the system. Our results confirm that users prefer transparency and control in their systems, and generate more trust to such systems. However, similar to previous studies, our study demonstrate that this ability to edit user profiles may also harm the system's performance and has to be used with caution.
© All rights reserved Ahn et al. and/or International World Wide Web Conference Committee
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. http://dx.doi.org/10.1109/WI.2007.4427176
He, Daqing and Peng, Yefei (2006): Comparing two blind relevance feedback techniques. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2006. pp. 649-650. http://doi.acm.org/10.1145/1148170.1148299
Mao, Ming, Peng, Yefei and He, Daqing (2006): DiLight: an ontology-based information access system for e-learning environments. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2006. p. 733. http://doi.acm.org/10.1145/1148170.1148346
Peng, Yefei and He, Daqing (2006): Direct comparison of commercial and academic retrieval system: an initial study. 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. 806-807. http://doi.acm.org/10.1145/1183614.1183740
Peng, Yefei, He, Daqing and Mao, Ming (2006): Geographic Named Entity Disambiguation with Automatic Profile Generation. In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence WI 2006 18-22 December, 2006, Hong Kong, China. pp. 522-525. http://doi.ieeecomputersociety.org/10.1109/WI.2006.87
He, Daqing, Wang, Jianqiang, Oard, Douglas W. and Nossal, Michael (2003): User-assisted query translation for interactive CLIR. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2003. p. 461. http://doi.acm.org/10.1145/860435.860552
He, Daqing, Ritchie, Graeme and Lee, John (2000): Resolving References to Graphical Objects in Multimodal Queries by Constraint Satisfaction. In: Tan, Tieniu, Shi, Yuanchun and Gao, Wen (eds.) Advances in Multimodal Interfaces - ICMI 2000 - Third International Conference October 14-16, 2000, Beijing, China. pp. 8-15. http://link.springer.de/link/service/series/0558/bibs/1948/19480008.htm
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