E-Commerce and Web Technologies

Recommender Systems.- Scalable Online Top-N Recommender Systems.- User Control in Recommender Systems: Overview and Interaction Challenges.- How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy.- Explorative Analysis of Recommendations Through Interactive Visualization.- Data Management and Data Analysis.- An E-Shop Analysis with a Focus on Product Data Extraction.- The WDC Gold Standards for Product Feature Extraction and Product Matching.- MFI-TransSW+: efficiently Mining Frequent Itemsets in Clickstreams.- Reranking strategies based on fine-grained business user events benchmarked on a large e-commerce data set.-Approaches to Fraud Detection in e-Payment Systems.- Business Processes, Web Services and Cloud Computing.- Multimodal indexing and search of business processes based on cumulative and continuous N-Grams.- Handling Branched Web Service Composition with a QoS-Aware Graph-based Method.- Recommendation in interactive Web Services Composition: A state-of-the-art survey.

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• E-commerce: aspectos de negócios
• Aplicações de negócios
• Mineração de Dados
• Os sistemas especialistas / sistemas baseados em conhecimento
• Matemática e sistemas do negócio
• Tecnologia da informação: aspectos gerais

recommender systems;Web services;business process management;e-commerce;cloud services;data analysis;data mining