E-Commerce and Web Technologies
Springer International Publishing (Verlag)
978-3-319-53675-0 (ISBN)
This book constitutes revised proceedings of the 17th International Conference on E-Commerce and Web Technologies, EC-Web 2016, held in Porto, Portugal, in September 2016, in conjunction with DEXA.
The 13 papers presented in this volume were carefully reviewed and selected from 21 submissions. They were organized in topical sections named: recommender systems; data management and data analysis; and business processes, Web services and cloud computing.
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.
| Erscheinungsdatum | 25.02.2017 |
|---|---|
| Reihe/Serie | Lecture Notes in Business Information Processing |
| Zusatzinfo | XII, 183 p. 47 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Wirtschaft ► Allgemeines / Lexika | |
| Schlagworte | business applications • Business mathematics and systems • business process management • cloud services • Computer Science • Data Analysis • Data Mining • data mining and knowledge discovery • e-Business/e-Commerce • E-Commerce • E-commerce: business aspects • e-commerce/e-business • Expert systems / knowledge-based systems • Information Retrieval • information systems applications (incl. internet) • Internet Searching • Recommender Systems • Web Services |
| ISBN-10 | 3-319-53675-3 / 3319536753 |
| ISBN-13 | 978-3-319-53675-0 / 9783319536750 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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