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All Outputs (11)

Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows. (2008)
Conference Proceeding
SONG, D., HUANG, Q., RUGER, S. and BRUZA, P. 2008. Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows. In Macdonald, C., Ounis, I., Plachouras, V., Ruthven I. and White, R.W. (eds.) Advances in information retrieval: proceedings of the 30th European conference on information retrieval (IR) research (ECIR 2008), 30 March - 3 April 2008, Glasgow, UK. Lecture notes in computer science, 4956. Berlin: Springer [online], pages 334-345. Available from: https://doi.org/10.1007/978-3-540-78646-7_31

This paper presents a novel framework to further advance the recent trend of using query decomposition and high-order term relationships in query language modeling, which takes into account terms implicitly associated with different subsets of query... Read More about Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows..

Robust query-specific pseudo feedback document selection for query expansion. (2008)
Conference Proceeding
HUANG, Q., SONG, D. and RUGER, S. 2008. Robust query-specific pseudo feedback document selection for query expansion. In Macdonald, C., Ounis, I., Plachouras, V., Ruthven I. and White, R.W. (eds.) Advances in information retrieval: proceedings of the 30th European conference on information retrieval (IR) research (ECIR 2008), 30 March - 3 April 2008, Glasgow, UK. Lecture notes in computer science, 4956. Berlin: Springer [online], pages 547-554. Available from: https://doi.org/10.1007/978-3-540-78646-7_54

In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. However, very little attention has been paid to an intuitive but criti... Read More about Robust query-specific pseudo feedback document selection for query expansion..

Comparing dissimilarity measures for content-based image retrieval. (2008)
Conference Proceeding
LIU, H., SONG, D., RUGER, S., HU, R. and UREN, V. 2008. Comparing dissimilarity measures for content-based image retrieval. In Li, H., Liu, T., Ma, W.-Y., Sakai, T., Wong, K.-F. and Zhou, G. (eds.) Information retrieval technology: revised selected papers from the proceedings of the 4th Asia information retrieval symposium (AIRS 2008), 15-18 January 2008, Harbin, China. Lecture notes in computer science, 4993. Berlin: Springer [online], pages 44-50. Available from: https://doi.org/10.1007/978-3-540-68636-1_5

Dissimilarity measurement plays a crucial role in content-based image retrieval, where data objects and queries are represented as vectors in high-dimensional content feature spaces. Given the large number of dissimilarity measures that exist in many... Read More about Comparing dissimilarity measures for content-based image retrieval..

A novel metadata based meta-search engine. (2008)
Conference Proceeding
ZHU, J., SONG, D., EISENSTADT, M. and BARLADEANU, C. 2008. A novel metadata based meta-search engine. In Cordeiro, J., Shishkov, B., Ranchordas, A. and Helfert, M. (eds.) Proceedings of the 3rd International conference on software and data technologies (ICSOFT 2008), 5-8 July 2008, Porto, Portugal. Setúbal: Science and Technology Publications [online], volume 3, pages 312-315. Available from: https://doi.org/10.5220/0001896403120315

We present a novel meta-search engine called DYNIQX for metadata based cross search in order to study the effect of metadata in collection fusion. DYNIQX exploits the availability of metadata in academic search services such as PubMed and Google Scho... Read More about A novel metadata based meta-search engine..

Genre analysis of structured e-mails for corpus profiling. (2008)
Conference Proceeding
CLARK, M., RUTHVEN, I. and O'BRIAN HOLT, P. 2008. Genre analysis of structured e-mails for corpus profiling. In De Roeck, A., Song, D. and Kruschwitz, U. (eds.) Proceedings of the Workshop on corpus profiling for information retrieval and natural language profiling, 18 October 2008, London, UK. London: BCS [online]. Available from: https://ewic.bcs.org/content/ConWebDoc/26114

This paper reports on our approach to the analysis of genre recognition using eyetracking. We focused on a collection of different types of email which could represent different datasets, such as, mailing lists for calls for papers, newsletters, etc.... Read More about Genre analysis of structured e-mails for corpus profiling..

A latent variable model for query expansion using the Hidden Markov Model (2008)
Presentation / Conference
HUANG, Q. and SONG, D. 2008. A latent variable model for query expansion using the Hidden Markov model. In Proceedings of the 17th Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'08), 26-30 October 2008, Napa Valley, USA. New York: ACM [online], pages 1417-1418. Available from: https://doi.org/10.1145/1458082.1458310

We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed LVM, the combinations of query terms are viewed as the latent variable... Read More about A latent variable model for query expansion using the Hidden Markov Model.

Dissimilarity measures for content-based image retrieval. (2008)
Conference Proceeding
HU, R., RUGER, S., SONG, D., LIU, H. and HUANG, Z. 2008. Dissimilarity measures for content-based image retrieval. In Proceedings of the 2008 IEEE international conference on multimedia and expo (ICME 2008), 23-26 June 2008, Hannover, Germany. New York: IEEE [online], article number 4607697, pages 1365-1368. Available from: https://doi.org/10.1109/ICME.2008.4607697

Dissimilarity measurement plays a crucial role in content-based image retrieval. In this paper, 16 core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, Corel, Getty and... Read More about Dissimilarity measures for content-based image retrieval..

Toward a fuzzy domain ontology extraction method for adaptive e-learning. (2008)
Journal Article
LAU, R.Y.K., SONG, D., LI, Y., CHEUNG, T.C.H. and HAO, J.-X. 2009. Towards a fuzzy domain ontology extraction method for adaptive e-learning. IEEE transactions on knowledge and data engineering [online], 21(6), pages 800-813. Available from: https://doi.org/10.1109/TKDE.2008.137

With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, i... Read More about Toward a fuzzy domain ontology extraction method for adaptive e-learning..

Towards a belief-revision-based adaptive and context-sensitive information retrieval system. (2008)
Journal Article
LAU, R.Y.K., BRUZA, P. and SONG, D. 2008. Towards a belief-revision-based adaptive and context-sensitive information retrieval system. ACM transactions on information systems [online], 26(2), article number 8. Available from: https://doi.org/10.1145/1344411.1344414

In an adaptive information retrieval (IR) setting, the information seekers' beliefs about which terms are relevant, or non-relevant, will naturally fluctuate. This article investigates how the theory of belief revision can be used to model adaptive I... Read More about Towards a belief-revision-based adaptive and context-sensitive information retrieval system..

The Open University at TREC 2007 Enterprise Track. (2008)
Conference Proceeding
ZHU, J., SONG, D. and RUGER, S. 2007. The Open University at TREC 2007 Enterprise Track. In Proceedings of the 16th Text retrieval conference (TREC 2007), 5-9 November 2007, Gaithersburg, USA. National Institute of Standards and Technology (NIST) special publications, SP 500-274. Gaithersburg: NIST [online], paper number 49. Available from: https://trec.nist.gov/pubs/trec16/papers/openu.ent.final.pdf

The Multimedia and Information Systems group at the Knowledge Media Institute of the Open University participated in the Expert Search and Document Search tasks of the Enterprise Track in TREC 2007. In both the document and expert search tasks, we ha... Read More about The Open University at TREC 2007 Enterprise Track..

Knowledge discovery for adaptive negotiation agents in e-marketplaces. (2008)
Journal Article
LAU, R.Y.K., LI, Y., SONG, D. and KWOK, R.C.W. 2008. Knowledge discovery for adaptive negotiation agents in e-marketplaces. Decision support systems [online], 45(2): IT and value creation: revised selected papers from the proceedings of the 9th Pacific Asia conference on information systems (PACIS 2005), 7-10 July 2005, Bangkok, Thailand, pages 310-323. Available from: https://doi.org/10.1016/j.dss.2007.12.018

Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negotiation protocols and mechanisms for e-marketplaces, existing negotiation... Read More about Knowledge discovery for adaptive negotiation agents in e-marketplaces..