E-Commerce and Web Technologies
12th International Conference, EC-Web 2011, Toulouse, France, August 30 - September 1, 2011, Proceedings
Published on 27. August 2011
XIII, 310 pages
978-3-642-23014-1 (ISBN)
Description
This book constitutes the refereed proceedings of the 12th International Conference on Electronic Commerce and Web Technologies (EC-Web) held in Toulouse, France, in August/September 2011.
The 25 papers accepted for EC-Web, selected from 60 submissions, are organized into eight topical sections on semantic services, business processes and services, context-aware recommender systems, intelligent agents and e-negotiation systems, collaborative filtering and preference learning, social recommender systems, agent interaction and trust management, and innovative strategies for preference elicitation and profiling.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Illustrations
XIII, 310 p. 66 illus., 41 illus. in color.
File size
7,11 MB
ISBN-13
978-3-642-23014-1 (9783642230141)
DOI
10.1007/978-3-642-23014-1
Schweitzer Classification
Other editions
Additional editions
Christian Huemer | Thomas Setzer
E-Commerce and Web Technologies
12th International Conference, EC-Web 2011, Toulouse, France, August 30 - September 1, 2011, Proceedings
Book
08/2011
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Intro
- Title
- Organization
- Table of Contents
- Semantic Services
- A Conversational Approach to Semantic Web Service Selection
- Introduction
- Basic Idea
- Diane Service Description
- Incremental and Interactive Service Selection
- Evaluation
- Related Approaches and Conclusion
- References
- DS3I - A Dynamic Semantically Enhanced Service Selection Infrastructure
- Introduction and Motivation
- Related Work
- Degrees of Freedom
- Dynamic Service Selection
- Semantic Technologies
- Conceptual Model
- Architecture
- ESB - A Means to an End
- Components and Capabilities
- Implementation
- Implementation Considerations
- Semantic Resolving and Mediation
- Conclusions and Future Work
- References
- A Design Pattern to Decouple Data from Markup
- Introduction
- Investigation Methodology and Results Analysis
- Selection of Web Applications
- Data Collection
- Results Analysis
- Web Application Frameworks - A Literature Review
- Frameworks Requiring a Plug-in and/or Scripting Engine in Browser
- Frameworks Based on Server-side Tag Libraries and Scripting
- Framework Using Component Based User Interface
- Exploiting Web 2.0 Technologies | A Hybrid Approach
- Use a Compact Data Interchange Format
- Use Static Template Based Views to Construct UI
- Experimentation Details and Results
- Conclusions
- References
- Business Processes and Services
- Context-Based Service Recommendation for Assisting Business Process Design
- Introduction
- Graph-Based Modeling of Service Composition Context
- Graph-Based Service Composition Model
- Service Neighborhood
- Service Composition Context Graph
- Service Recommendation Based on Composition Context Matching
- Direct Link Pattern Matching
- Composition Context Matching
- Implementation and Experiments
- Related Work
- Conclusion and Future Work
- References
- Composite Process View Transformation
- Introduction
- Architecture for a Process View Management Framework
- Key Realization Aspects
- Development of Process View Services
- Creation of View Definitions
- Generation of Executable Process View Service Compositions
- Advanced Aspects and Challenges
- Expressiveness of Involved Languages
- Security and Privacy
- Related Work
- Conclusion
- References
- A Multi-layer Approach for Customizing Business Services
- Introduction
- Motivating Example
- Multi-layer Approach for Customization
- Service-View Segmentation Layer (SSL)
- Service Customization Layer (SCL)
- Exemplification of Service Customization
- Related Works
- Conclusion
- References
- Process Mining for Electronic Data Interchange
- Introduction
- Process Mining
- Challenges and Research Questions
- Deriving Process Choreographies
- Identifying Redundancies in Business Documents
- Analyzing Business Performance
- Architecture
- Preprocessing Stage
- Analysis Stage
- Related Work
- Conclusion
- References
- Context-Aware Recommender Systems
- InCarMusic: Context-Aware Music Recommendations in a Car
- Introduction
- Related Work
- InCarMusic Mobile Application
- Rating Acquisition
- Context Model and Music Track Corpus
- Relevance of the Contextual Factors
- The Impact of Contextual Conditions on Ratings
- Prediction Model
- Conclusions
- References
- Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendations
- Introduction
- Related Work
- Semantic Contexts of Social Tags
- Tag Similarities
- Tag Clustering
- Tag-Based Profiles
- Tag-Powered Item Recommenders
- Experiments
- Evaluating Tag Contextualisation
- Evaluating Contextualised Tag-Powered Item Recommendations
- Conclusions
- References
- Intelligent Agents and E-Negotiation Systems
- Multi-agent Negotiation in Electricity Markets
- Introduction
- Multi-agent Electricity Market
- Multi-agent Negotiation
- Pre-negotiation
- Actual Negotiation
- Case Study: Multi-agent Retail Market
- Related Work
- Conclusion
- References
- How to Make Specialists NOT Specialised in TAC Market Design Competition? Behaviour- Based Mechanism Design
- Introduction
- Preliminary
- Behaviour-Based Trader Classification
- Data Acquisition
- Defining Categories of Trader
- Category Recognition from Behaviour
- Behaviour-Based Policy Design
- A Search Space of Behaviour-Based Policies
- Searching Adaptive Mechanisms
- Experiments
- A Framework for Behaviour-Based Mechanism Design
- Conclusion
- References
- Argumentation with Advice
- Introduction
- Communication Framework
- Argumentation Agent Architecture
- Updating Mt
- Advice Interaction
- Discussion
- References
- Collaborative Filtering and Preference Learning
- On Collaborative Filtering Techniques for Live TV and Radio Discovery and Recommendation
- DMR Context, Motivations and Related Work
- Discussion on Data Collection
- Data Processing and Discovery of Events
- Recommendation
- Experimental Results
- Evaluation
- Conclusion and Future Work
- References
- Rating Elicitation Strategies for Collaborative Filtering
- Introduction
- Elicitation Strategies
- Evaluation Approach
- Experimental Results
- Mean Absolute Error
- Number of Acquired Ratings
- Normalized Discounted Cumulative Gain
- Related Work
- Conclusions and Future Work
- References
- Information Retrieval and Folksonomies together for Recommender Systems
- Introduction
- Basics of RS
- IR and RS
- Social Web and Its Impact on IR and RS
- RS and Social Web
- IR and Social Web
- Current and New Perspectives
- Contribution of IR for RS
- Possible Contribution of IR for RS
- Possible Evolution of RS for E-Commerce
- Conclusion
- References
- An Exploratory Work in Using Comparisons Instead of Ratings
- Introduction
- Related Work
- Expressing Preferences with Ratings
- Expressing Preferences with Comparisons
- Motivation for Comparing Items
- Advantages of Comparing
- Algorithmic Predisposition of Comparisons
- Experiments
- Experiment Framework
- Evaluation Setup
- Results
- Are Users in Favor of Comparisons?
- Do Users Express the Same When Comparing and Rating?
- How Accurate Are the Recommendations from Both Modalities?
- Discussion
- Conclusion
- References
- Social Recommender Systems
- Understanding Recommendations by Reading the Clouds
- Introduction
- Previous Works
- Explanation Interfaces
- Experimental Setup
- Empirical Evaluation
- Participants
- Collected Data
- Hypotheses, Results and Discussion
- Summary
- References
- Recommendation by Example in Social Annotation Systems
- Introduction
- Related Work
- Recommendation by Example in Social Annotation Systems
- Experimental Evaluation
- Datasets
- Methodology
- Experimental Results
- Conclusion
- References
- Agent Interaction and Trust Management
- Trust-Based Selection of Partners
- Introduction
- Related Work
- Scenario and Notation
- The Trust Model
- Experiments
- Testbed and Methodology
- Evaluation Metrics
- Results
- Interpretation of Results
- Conclusions
- References
- A High-Level Agent Interaction Protocol Based on a Communication Ontology
- Introduction
- State of the Art and Related Work
- Background
- High-Level Agent Interaction Protocol
- Domain Ontology
- Action Notification Ontology
- Discourse Ontology
- Communication Ontology
- Functional Interface Definition
- Conclusion
- References
- When Trust Is Not Enough
- Introduction
- `Relationships' between Agents
- The Relationship Model Rt
- The Components It, Rt and Jt
- Estimating the information in an utterance: It(u)
- Estimating the Reliability of an Utterance: Rt(u)
- The Integrity Model It
- Discussion
- References
- Innovative Strategies for Preference Elicitation and Profiling
- LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations
- Introduction
- FolkRank and LocalRank
- Folksonomies and FolkRank
- LocalRank
- Evaluation
- Data Sets
- Evaluation Procedure
- Accuracy Results
- Run-Time Efficiency Results
- Summary and Outlook
- References
- Random Indexing and Negative User Preferences for Enhancing Content-Based Recommender Systems
- Introduction
- Related Work
- eVSM for Content-Based Recommender Systems
- Random Indexing
- Semantic Vectors
- Recommendation Models
- Random Indexing-Based Model
- Weighted Random Indexing-Based Model
- Semantic Vectors-Based Model
- Weighted Semantic Vectors-Based Model
- Experimental Evaluation
- Conclusions and Future Directions
- References
- Using User Personalized Ontological Profile to Infer Semantic Knowledge for Personalized Recommendation
- Introduction
- Previous Work
- Personalized Ontological Profile (POP)
- Computing the Group Strength
- Computing Semantic Relatedness between Two Concepts
- Computing the Group Strength
- Enhanced Spreading Activation Technique (ESAT)
- Experiment
- Experiment1: Identifying Value
- Experiment 2: Prediction Accuracy
- Conclusion and Future Work
- References
- Beyond Similarity-Based Recommenders: Preference Relaxation and Product Awareness
- Introduction
- Background
- Preference Relaxation Methods
- Logical Product Filtering
- Standard Preference Relaxation
- Soft-Boundary Preference Relaxation
- Hypotheses
- Evaluation
- Datasets
- Method
- Indicators
- Results
- Discussion
- Conclusions
- References
- Author Index
