A Comparison on MANETs’ Service Replication Schemes: Interest versus Topology Prediction
A Cost Model for Distributed Coverage Processing Services
An Evaluation Methodology and Framework for Semantic Web Services Technology
An Interest-Based Load Balancing Mechanism for the Service Distribution Protocol in MANETs
Enabling Trust-Aware Semantic Web Service Selection – A Flexible and Personalized Approach
Enabling Trust-Aware Semantic Web Service Selection – A Flexible and Personalized Approach
Evaluating Semantic Web Service Technologies: Criteria, Approaches and Challenges
Heuristic Geo Query Decomposition and Orchestration in a SOA
Impact of Heterogeneous Mobility Models on the Service Distribution Protocol for MANETs
Information and Management Support for Mass Casualty Incident Scenarios
IntrospectiveViews: An Interface for Scrutinizing Semantic User Models
Measures for Benchmarking Semantic Web Service Matchmaking Correctness (SEALS Best Evaluation Paper Award)
New Service Selection Strategies for the Service Distribution Protocol for MANETs.
Scrutinizing User Interest Models with IntrospectiveViews
SDP Primary Implementation in Microsoft® VisualC++®, A Service Distribution Protocol for MANETs
SDP-Implementation in Opnet® v.1: MANETs’ Service Replication and Load Balancing: Release Notes-User Manual-Programmer Guide
SDP-Implementation in Opnet® v.2, SDP-Based Composite Service Execution in MANETs: Release Notes-User Manual-Programmer Guide
Semantic Enrichment of Social Media Resources for Adaptation
Service Replication in Wireless Mobile Ad Hoc Networks
Supporting Consumers in Providing Meaningful Multi-Criteria Judgments
Supporting Consumers in Providing Meaningful Multi-Criteria Judgments
Title: | Supporting Consumers in Providing Meaningful Multi-Criteria Judgments |
---|---|
Authors: | Friederike Klan and Birgitta König-Ries |
Source: | In Proceedings of the International Workshop on the Practical Use of Recommender Systems, Algorithms and Technologies (PRSAT 2010) in conjunction with RecSys2010 |
Place: | Barcelona, Spain |
Date: | 2010-09-01 |
Type: | Workshop Paper |
Abstract: |
The huge amount of products and services that are available online, makes it difficult for consumers to identify offers which are of interest to them. Semantic retrieval techniques for Web Services address this issue, but make the unrealistic assumption that offer descriptions describe a service’s capabilities correctly and that service requests reflect a consumer’s actual requirements. As a consequence, they might produce inaccurate results. Alternative retrieval techniques such as collaborative filtering (CF) mitigate those problems, but perform not well in situations where consumer feedback is scarce. As a solution, we propose to combine both techniques. However, we argue that the multi-faceted nature Web Services imposes special requirements on the underlying feedback mechanism, that are only partially met by existing CF solutions. The focus of this paper is on how to elicit consumer feedback that can be effectively used in the context of Web Service retrieval and how to support users in that process. Our main contribution is an algorithm that suggests which service aspects should be judged by a consumer. The approach effectively adjusts to user’s ability and willingness to provide judgments and ensures that the provided feedback is meaningful and appropriate in the context of a certain service interaction. |
File: | main.pdf |
Slides: | slides.pdf |
URL: | http://ceur-ws.org/Vol-676/paper3.pdf |