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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..

Early fusion and query modification in their dual late fusion forms. (2015)
Journal Article
KALICIAK, L., MYRHAUG, H., GOKER, A. and SONG, D. 2015. Early fusion and query modification in their dual late fusion forms. Journal of advances in information fusion [online], 10(2), pages 183-198. Available from: http://isif.org/journal/10/2/1557-6418

In this paper, we prove that specific widely used models in Content-based Image Retrieval for information fusion are interchangeable. In addition, we show that even advanced, non-standard fusion strategies can be represented in dual forms. These mode... Read More about Early fusion and query modification in their dual late fusion forms..

Content based video retrieval via spatial-temporal information discovery. (2013)
Thesis
WANG, L. 2013. Content based video retrieval via spatial-temporal information discovery. Robert Gordon University, PhD thesis.

Content based video retrieval (CBVR) has been strongly motivated by a variety of realworld applications. Most state-of-the-art CBVR systems are built based on Bag-of-visual- Words (BovW) framework for visual resources representation and access. The f... Read More about Content based video retrieval via spatial-temporal information discovery..

You have e-mail, what happens next? (2013)
Journal Article
CLARK, M., RUTHVEN, I., HOLT, P.O'B., SONG, D. and WATT, S. 2014. You have e-mail, what happens next? Tracking the eyes for genre. Information processing and management [online], 50(1), pages 175-198. Available: https://doi.org/10.1016/j.ipm.2013.08.005

This paper reports on an approach to the analysis of form (layout and formatting) during genre recognition recorded using eye tracking. The researchers focused on eight di erent types of e-mail, such as calls for papers, newsletters and spam, which w... Read More about You have e-mail, what happens next?.

Hybrid models for combination of visual and textual features in context-based image retrieval. (2013)
Thesis
KALICIAK, L. 2013. Hybrid models for combination of visual and textual features in context-based image retrieval. Robert Gordon University, PhD thesis.

Visual Information Retrieval poses a challenge to intelligent information search systems. This is due to the semantic gap, the difference between human perception (information needs) and the machine representation of multimedia objects. Most existing... Read More about Hybrid models for combination of visual and textual features in context-based image retrieval..

Approximating true relevance model in relevance feedback. (2013)
Thesis
ZHANG, P. 2013. Approximating true relevance model in relevance feedback. Robert Gordon University, PhD thesis.

Relevance is an essential concept in information retrieval (IR) and relevance estimation is a fundamental IR task. It involves not only document relevance estimation, but also estimation of user's information need. Relevance-based language model aims... Read More about Approximating true relevance model in relevance feedback..

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..

Automatically structuring domain knowledge from text: an overview of current research. (2012)
Journal Article
CLARK, M., KIM, Y., KRUSCHWITZ, U., SONG, D., ALBAKOUR, D., DIGNUM, S., BERESI, U. C., FASLI, M. and DE ROECK, A. 2012. Automatically structuring domain knowledge from text: an overview of current research. Information processing and management [online], 48(3), pages 552-568. Available from:https://doi.org/10.1016/j.ipm.2011.07.002

This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and artificial intelligence. In the la... Read More about Automatically structuring domain knowledge from text: an overview of current research..

DYNIQX: a novel meta-search engine for the web. (2009)
Journal Article
ZHU, J., SONG, D., EISENSTADT, M., BARLADEANU, C. and RUGER, S. 2009. DYNIQX: a novel meta-search engine for the web. International journal of information studies, 1(1), pages 2-27.

The effect of metadata in collection fusion has not been sufficiently studied. In response to this, we present a novel meta-search engine called Dyniqx for metadata based search. Dyniqx integrates search results from search services of documents, ima... Read More about DYNIQX: a novel meta-search engine for the web..

Towards a fuzzy domain ontology extraction method for adaptive e-learning. (2009)
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 wide spread applications of e-Learning technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Accordingly, instructors are often o... Read More about Towards a fuzzy domain ontology extraction method for adaptive e-learning..

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..

Integrating multiple windows and document features for expert finding. (2009)
Journal Article
ZHU, J., SONG, D. and RUGER, S. 2009. Integrating multiple windows and document features for expert finding. Journal of the Association for Information Science and Technology [online], 60(4), pages 694-715. Available from: https://doi.org/10.1002/asi.21012

Expert finding is a key task in enterprise search and has recently attracted lots of attention from both research and industry communities. Given a search topic, a prominent existing approach is to apply some information retrieval (IR) system to retr... Read More about Integrating multiple windows and document features for expert finding..

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..

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 Hid- den 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 variab... Read More about A latent variable model for query expansion using the hidden Markov model..


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