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Predicting emotional reaction in social networks. (2017)
Conference Proceeding
CLOS, J., BANDHAKAVI, A., WIRATUNGA, N. and CABANAC, G. 2017. Predicting emotional reaction in social networks. In Jose, J.M., Hauff, C., Altingovde, I.S., Song, D., Albakour, D., Watt, S. and Tait, J. (eds.) Advances in information retrieval: proceedings of the 39th European conference on information retrieval (ECIR 2017), 8-13 April 2017, Aberdeen, UK. Lecture notes in computer science, 10193. Cham: Springer [online], pages 527-533. Available from: https://doi.org/10.1007/978-3-319-56608-5_44

Online content has shifted from static and document-oriented to dynamic and discussion-oriented, leading users to spend an increasing amount of time navigating online discussions in order to participate in their social network. Recent work on emotion... Read More about Predicting emotional reaction in social networks..

Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval. (2012)
Conference Proceeding
WANG, L., SONG, D. and ELYAN, E. 2012. Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval. In Proceedings of the 21st Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'12), 29 October - 2 November 2012, Maui, USA. New York: ACM [online], pages 1303-1312. Available from: https://doi.org/10.1145/2396761.2398433

Most of the state-of-art approaches to Query-by-Example (QBE) video retrieval are based on the Bag-of-visual-Words (BovW) representation of visual content. It, however, ig- nores the spatial-temporal information, which is important for similarity mea... Read More about Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval..

Looking for genre: the use of structural features during search tasks with Wikipedia. (2012)
Conference Proceeding
CLARK, M., RUTHVEN, I., O'BRIAN HOLT, P. and SONG, D. 2012. Looking for genre: the use of structural features during search tasks with Wikipedia. In Proceedings of the 4th Information interaction in context symposium (IIIX'12), 21-24 August 2012, Nijmegen, Netherlands. New York: ACM [online], pages 145-154. Available from: https://doi.org/10.1145/2362724.2362751

This paper reports on our task-based observational, logged, questionnaire study and analysis of ocular behavior pertaining to the interaction of structural features of text in Wikipedia using eye tracking. We set natural and realistic tasks searching... Read More about Looking for genre: the use of structural features during search tasks with Wikipedia..

Characterizing pure high-order entanglements in lexical semantic spaces via information geometry. (2009)
Conference Proceeding
HOU, Y. and SONG, D. 2009. Characterizing pure high-order entanglements in lexical semantic spaces via information geometry. In Bruza, P., Sofge, D., Lawless, W., Van Rijsbergen, K. and Klusch, M. (eds.) Proceedings of the 3rd International symposium on quantum interaction (QI 2009), 25-27 March 2009, Saarbr├╝cken, Germany. Lecture notes in computer science, 5494. Berlin: Springer [online], pages 237-250. Available from: https://doi.org/10.1007/978-3-642-00834-4_20

An emerging topic in Quantuam Interaction is the use of lexical semantic spaces, as Hilbert spaces, to capture the meaning of words. There has been some initial evidence that the phenomenon of quantum entanglement exists in a semantic space and can p... Read More about Characterizing pure high-order entanglements in lexical semantic spaces via information geometry..

Dimension-specific search for multimedia retrieval. (2009)
Conference Proceeding
HUANG, Z., SHEN, H.T., SONG, D., LI, X. and RUGER, S. 2009. Dimension-specific search for multimedia retrieval. In Zhou, X., Yokota, H., Deng, K. and Liu, Q. (eds.) Proceedings of the 14th International conference on database systems for advanced applications (DASFAA 2009), 21-23 April 2009, Brisbane, Australia. Lecture notes in computer science, 5463. Berlin: Springer [online], pages 693-698. Available from: https://doi.org/10.1007/978-3-642-00887-0_60

Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause pos- sible performance limitation, we propose the first Dimension-specific Similarity Measure (DSM) to take lo... Read More about Dimension-specific search for multimedia 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. Set├║bal: 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..

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 contentbased 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..

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 at- tention has been paid to an intuitive but cri... Read More about Robust query-specific pseudo feedback document selection for query expansion..

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 re- lationships in query language modeling, which takes into account terms implicitly associated with di®erent subsets of quer... Read More about Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows..

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..

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 contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, including Co... Read More about Dissimilarity measures for content-based image retrieval..

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/p...ers/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..

Learning and optimization of an aspect hidden markov model for query language model generation. (2007)
Conference Proceeding
HUANG, Q., SONG, D., RUGER, S. and BRUZA, P. 2007. Learning and optimization of an aspect hidden markov model for query language model generation. In Dominich, S. and Kiss, F. (eds.) Studies in theory of information retrieval: proceedings of the 1st Association of Computing Machinery Special Interest Group on Information Retrieval (ACM SIGIR) international conference on the theory of information retrieval (ICTIR'07), 18-20 October 2007, Budapest, Hungary. Budapest: Foundation for Information Society (INFOTA), pages 157-164.

The Relevance Model (RM) incorporates pseudo relevance feedback to derive query language model and has shown a good performance. Generally, it is based on uni-gram models of individual feedback documents from which query terms are sampled independent... Read More about Learning and optimization of an aspect hidden markov model for query language model generation..

Enabling management oversight in corporate blog space. (2006)
Conference Proceeding
SONG, D., BRUZA, P., MCARTHUR, R. and MANSFIELD, T. 2006. Enabling management oversight in corporate blog space. In Nicolov, N., Salvetti, F., Liberman, M. and Martin, J.H. (eds.) Computational approaches to analyzing weblogs: proceedings of the 2006 American Association for Artificial Intelligence (AAAI) Spring symposium, 27-29 March 2006, Stanford, USA. Palo Alto: AAAI Press.

When a modern corporation empowers its staff to use blogs to communicate with colleagues, partners, suppliers and customers, the role of management in exercising oversight and guidance over the public speech of staff becomes dramatically challenged.... Read More about Enabling management oversight in corporate blog space..

LRD: latent relation discovery for vector space expansion and information retrieval. (2006)
Conference Proceeding
GONCALVES, A., ZHU, J., SONG, D., UREN, V. and PACHECO, R. 2006. LRD: latent relation discovery for vector space expansion and information retrieval. In Yu, J.X., Kitsuregawa, M. and Leong, H.V. (eds.) Advances in web-age information management: proceedings of the 7th International conference on web-age information management (WAIM 2006), 17-19 June 2006, Hong Kong, China. Lecture notes in computer science, 4016. Berlin: Springer [online], pages 122-133. Available from: https://doi.org/10.1007/11775300_11

In this paper, we propose a text mining method called LRD (latent relation discovery), which extends the traditional vector space model of docu-ment representation in order to improve information retrieval (IR) on docu-ments and document clustering.... Read More about LRD: latent relation discovery for vector space expansion and information retrieval..

Concept-based document readability in domain specific information retrieval. (2006)
Conference Proceeding
YAN, X., SONG, D. and LI, X. 2006. Concept-based document readability in domain specific information retrieval. In Proceedings of the 15th Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'06), 5-11 November 2006, Arlington, USA. New York: ACM [online], pages 540-549. Available from: https://doi.org/10.1145/1183614.1183692

Domain specific information retrieval has become in demand. Not only domain experts, but also average non-expert users are interested in searching domain specific (e.g., medical and health) information from online resources. However, a typical proble... Read More about Concept-based document readability in domain specific information retrieval..

Exploiting semantic association to answer 'vague queries'. (2006)
Conference Proceeding
ZHU, J., EISENSTADT, M., SONG, D. and DENHAM, C. 2006. Exploiting semantic association to answer 'vague queries'. In Li, Y., Looi, M. and Zhong, N. (eds.) Advances in intelligent IT: proceedings of the 4th International conference on active media technology (AMT06), 7-9 June 2006, Brisbane, Australia. Frontiers in artificial intelligence and applications, 138. Amsterdam: IOS Press [online], pages 73-78. Available from: http://ebooks.iospress.nl/volumearticle/2511

Although todays web search engines are very powerful, they still fail to provide intuitively relevant results for many types of queries, especially ones that are vaguely-formed in the users own mind. We argue that associations between terms in a sear... Read More about Exploiting semantic association to answer 'vague queries'..

Dimensionality reduction in patch-signature based protein structure matching. (2006)
Conference Proceeding
HUANG, Z., ZHOU, X., SONG, D. and BRUZA, P. 2006. Dimensionality reduction in patch-signature based protein structure matching. In: Dobbie, G. and Bailey, J. (eds.) Proceedings of the 17th Australasian database conference (ADC'06), 16-19 January 2006, Hobart, Australia. Darlinghurst: Australian Computer Society [online], pages 89-97. Available from: https://dl.acm.org/citation.cfm?id=1151746

Searching bio-chemical structures is becoming an important application domain of information re- trieval. This paper introduces a protein structure matching problem and formulates it as an infor- mation retrieval problem. We first present a novel vec... Read More about Dimensionality reduction in patch-signature based protein structure matching..

Document re-ranking by generality in bio-medical information retrieval. (2005)
Conference Proceeding
YAN, X., LI, X. and SONG, D. 2005. Document re-ranking by generality in bio-medical information retrieval. In Ngu, A.H.H., Kitsuregawa, M., Neuhold, E.J., Chung, J.-Y. and Sheng, Q.Z. (eds.) Web information systems engineering: proceedings of the 6th International conference on web information systems engineering (WISE 2005), 20-22 November 2005, New York, USA. Lecture notes in computer science, 3806. Berlin: Springer [online], pages 376-389. Available from: https://doi.org/10.1007/11581062_28

Document ranking is well known to be a crucial process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. Traditional document rank- ing methods are based on different measurem... Read More about Document re-ranking by generality in bio-medical information retrieval..

Inferring query models by computing information flow. (2005)
Conference Proceeding
BRUZA, P.D. and SONG, D. 2002. Inferring query models by computing information flow. In Proceedings of the 11th Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'02), 4-9 November 2002, McLean, USA. New York: ACM [online], pages 260-269. Available from: https://doi.org/10.1145/584792.584837

The language modelling approach to information retrieval can also be used to compute query models. A query model can be envisaged as an expansion of an initial query. The more prominent query models in the literature have a probabilistic basis, that... Read More about Inferring query models by computing information flow..