By Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke (auth.), Francesco Buccafurri, Giovanni Semeraro (eds.)
After the lesson realized in the course of final years and following the profitable version of EC-Web 2009, for its eleventh variation EC-Web attempted to supply a clearer description of the digital trade universe targeting a few appropriate issues. the main target was once not just on Internet-related strategies and ways. the purpose of EC-Web 2010 was once to additionally conceal features concerning theoretical foundations of e-commerce, company methods in addition to new techniques exploiting lately emerged applied sciences and situations comparable to the Semantic internet, internet companies, SOA architectures, cellular and ubiquitous computing, simply to cite a couple of. as a result of their relevant position in any life like e-commerce infrastructure, protection and privateness matters have been greatly thought of, with out with the exception of criminal and regulatory features. the alternative of the above correct issues without delay displays the truth that digital trade (EC), within the previous couple of years, has replaced and advanced right into a well-established and based truth either from a technological perspective and from a systematic one. however, including its evolution, new demanding situations and themes have emerged in addition to new questions were raised concerning many facets of EC. retaining in brain the event of the final version of EC-Web, we maintained, for its eleventh variation, the constitution and the clinical association of EC-Web 2009, aiming to spotlight the self reliant function of the several (sometimes heterogeneous) facets of EC, with out lacking their interdisciplinary scope.
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Extra resources for E-Commerce and Web Technologies: 11th International Conference, EC-Web 2010, Bilbao, Spain, September 1-3, 2010. Proceedings
8). 01). Another interesting result is that using conﬁguration exploiting content-based tags as the ﬁrst strategy gives the best results. This is in line with results report in Table 1, in which the best performance of STaR was obtained by adopting the set of content-based tags. 5 Conclusions and Future Work In this paper we presented STaR, a tag recommender system integrating a social approach with a content-based one able to extract tags by analyzing the textual content of resources to be annotated.
The results showed that on the average the 85% of the top10 related resources where within a distance of one or two hops. 52). On the contrary the resources above two hops were rarely present among the ﬁrst results (less than 15% of times). t. to the distance from a seed (M AX DEP T H) is shown. 2 Ranker Here we describe the ranker, the core component of the whole system. Given any pair of resources in the DBpedia graph it determines a similarity value between them; this similarity value is the weight associated to the edge between the two resources.
Html 7. : Analyzing Flickr Groups. In: Proceeding of the 2008 International Conference on Content-Based Image and Video Retrieval, Niagara Falls, Ontario, Canada, pp. 417–426 (2008) 8. : Exploring the similarity space. it Abstract. Many current recommender systems exploit textual annotations (tags) provided by users to retrieve and suggest online contents. The text-based recommendation provided by these systems could be enhanced (i) using unambiguous identifiers representative of tags and (ii) exploiting semantic relations among tags which are impossible to be discovered by traditional textual analysis.