By Ivy Hong-Ieng Hoi, Mars Liwen Liao, Chih-Chieh Hung, Evans Tseng (auth.), Christian Huemer, Pasquale Lops (eds.)
This publication constitutes the refereed lawsuits of the 14th foreign convention on digital trade and net applied sciences (EC-Web) held in Prague, Czech Republic, in August 2013. In 2013, EC-Web considering recommender platforms, semantic e-business, company providers and technique administration, and agent-based e-commerce. The thirteen complete and six brief papers authorized for EC-Web, chosen from forty three submissions, have been rigorously reviewed in keeping with their originality, caliber, relevance, and presentation.
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E-Commerce and Web Technologies: 14th International Conference, EC-Web 2013, Prague, Czech Republic, August 27-28, 2013. Proceedings
This booklet constitutes the refereed complaints of the 14th foreign convention on digital trade and net applied sciences (EC-Web) held in Prague, Czech Republic, in August 2013. In 2013, EC-Web involved in recommender platforms, semantic e-business, enterprise prone and approach administration, and agent-based e-commerce.
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Additional info for E-Commerce and Web Technologies: 14th International Conference, EC-Web 2013, Prague, Czech Republic, August 27-28, 2013. Proceedings
TR-1 (2012) 20. : I’m feeling LoCo: A Location Based Context Aware Recommendation System. In: 8th Int. Symposium on LBS, Vienna (2011) 21. : The Mobile Wine Agent: Pairing Wine with the Social Semantic Web. In: 2nd Social Data on the Web Workshop (2009) 22. : Personalized Mobile Information Retrieval System. Int. Journal of Advanced Robotic Systems (2012) 23. : Personalizing Mobile Web Search for Location Sensitive Queries. In: 12th IEEE Int. Conference on Mobile Data Management (2011) 24. : Context-Based Personalization for Mobile Web Search.
3D). Personalized Recommendations Based on Social Media Data. Savage et al.  used foursquare data to make POI recommendations based on a pattern-matching scoring algorithm while Patton et al.  implemented a mobile agent for wine and food recommendation. Data from social media such as facebook and twitter are stored in RDF triples format and retrieved for personalized recommendations. Search Optimization. Nowadays, LBS offer high quality mobile search capabilities by personalizing query results or search tag recommendations.
We ﬁrst ﬁnd all the shortest path between two nodes. Then, the social inﬂuence propagation of each path will be computed. The maximum propagation path is selected as the ﬁnal result. Assume SPu,v represents the shortest path set between node u and v. , m SIu,v = max (2) ⎭ ⎩ k (vi ,vj )∈SPu,v k Where, m denotes the number of the shortest path between node u and v. SPu,v is the k shortest path. Take the inﬂuence of SID,A for example in Fig. 1(a), there are two short1 est paths between node D and A.