Abstract
The emergence of Internet advertising brings about an economic and efficient marketing means for small and medium enterprises in service industries. Every day, massive service advertising information is published over the Internet. Nevertheless, on the other side, service consumers find it difficult to quickly and precisely retrieve their desired services. This problem is partly caused by the ubiquitous, heterogeneous, and ambiguous nature of online service advertising information. In this paper, we propose a systematic framework – UCOSAIS – for online service advertising information search. Inspired by the philosophy of user-centered design, this framework comprises an ontology-learning-based focused crawler for service information discovery and classification, a faceted semantic search component for service concept selection, and a user-click-based similarity computing component for service concept ranking adjustment.
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References
Wang, H., Lee, M.K.O., Wang, C.: Consumer privacy concerns about Internet marketing. Commun. ACM 41, 63–70 (1998)
Dong, H., Hussain, F.K., Chang, E.: Ontology-learning-based focused crawling for online service advertising information discovery and classification. In: Liu, C., Ludwig, H., Toumani, F., Yu, Q. (eds.) ICSOC 2012. LNCS, vol. 7636, pp. 591–598. Springer, Heidelberg (2012)
Dong, H., Hussain, F.K.: Semantic service matchmaking for digital health ecosystems. Knowl.-Based Syst. 24, 761–774 (2011)
Dong, H., Hussain, F.K., Chang, E.: A service search engine for the industrial digital ecosystems. IEEE Tran. Ind. Electron. 58, 2183–2196 (2011)
Abras, C., Maloney-Krichmar, D., Preece, J.: User-Centered Design. In: Bainbridge, W. (ed.) Berkshire Encyclopedia of Human-Computer Interaction, vol. 2, pp. 763–768. Berkshire Publishing Group, Great Barrington (2004)
Spink, A., Wolfram, D., Jansen, M.B.J., Saracevic, T.: Searching the web: The public and their queries. J. Am. Soc. Inf. Sci. Tec. 52, 226–234 (2001)
Dong, H., Hussain, F.K., Chang, E.: A context-aware semantic similarity model for ontology environments. Concurr. Comp. - Pract. E. 23, 505–524 (2011)
Plebani, P., Pernici, B.: URBE: Web service retrieval based on similarity evaluation. IEEE Trans. Knowl. Data Eng. 21, 1629–1642 (2009)
Shneiderman, B.: Designing the User Interface: Strategies for Effective Human-Computer Interaction. Addison-Wesley, Reading (1998)
Dong, H., Hussain, F.K., Chang, E.: A human-centered semantic service platform for the digital ecosystems environment. World Wide Web 13, 75–103 (2010)
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Dong, H., Hussain, F.K., Chang, E. (2013). UCOSAIS: A Framework for User-Centered Online Service Advertising Information Search. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds) Web Information Systems Engineering – WISE 2013. WISE 2013. Lecture Notes in Computer Science, vol 8180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41230-1_23
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DOI: https://doi.org/10.1007/978-3-642-41230-1_23
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