E-Book, Englisch, Band 61, 279 Seiten, eBook
11th International Conference, EC-Web 2010, Bilbao, Spain, September 1-3, 2010, Proceedings
E-Book, Englisch, Band 61, 279 Seiten, eBook
Reihe: Lecture Notes in Business Information Processing
ISBN: 978-3-642-15208-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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Research
Autoren/Hrsg.
Weitere Infos & Material
Recommender Systems 1.- Resource Recommendation in Collaborative Tagging Applications.- Combining Collaborative and Content-Based Techniques for Tag Recommendation.- Category Recommendation in User Specified Structure.- Recommender Systems 2.- Semantic Tag Cloud Generation via DBpedia.- Social Networks as Data Source for Recommendation Systems.- Content-Based News Recommendation.- E-Payment, Security and Trust.- Towards a Lawfully Secure and Privacy Preserving Video Surveillance System.- Reputation as Aggregated Opinions.- The Open Metaverse Currency (OMC) – A Micropayment Framework for Open 3D Virtual Worlds.- T-REX: A Hybrid Agent Trust Model Based on Witness Reputation and Personal Experience.- Service Oriented E-Commerce and Business Processes.- QoS Contract Formation and Evolution.- Process Views to Support Compliance Management in Business Processes.- Invited Talk.- Web Advertising.- Agent-Based Electronic Commerce 1.- Electronic Trading Environments for Web 3.0.- Agent-Based Electronic Commerce 2.- On the Benefits of Keyword Spreading in Sponsored Search Auctions: An Experimental Analysis.- An Optimization Method for Agent’s Bidding Strategy in TAC-SCM Game.- Concession Behaviour in Automated Negotiation.- Bilateral Negotiation in a Multi-agent Supply Chain System.- Recommender Systems 3.- Receiving Recommendations and Providing Feedback: The User-Experience of a Recommender System.- Comparing Techniques for Preference Relaxation: A Decision Theory Perspective.- Detecting Leaders to Alleviate Latency in Recommender Systems.- Invited Talk.- Electronic Markets, a Look Behind the Curtains: How Can Semantic Matchmaking and Negotiation Boost E-Commerce?.- Recommender Systems 4.- Quantile Matrix Factorization for Collaborative Filtering.- Partial Ranking ofProducts for Recommendation Systems.