paper 1, Trust in a Hybrid Recommender System
Table of Contents
- Session 1 Software Technology and Engineering
- 1. Trust in a Hybrid Recommender System
- Session 2 Software Technology and Engineering
- 11. ReChaP Prototype: A Tool for Simplifying Requirement Change Propagation to Software Design
- 12. Risk Based Analysis for Detention Pond Overflow at Wilayah Pembangunan Iskandar (Nusajaya), Johor
- 20. A Comparative Evaluation of State-of-the-Art Approaches in the Design of an Adaptive Software System
- Session 3 Software Technology and Engineering
- 21. MiPAF: A Policy-Based Middleware Framework to Control Negative Effects of Software Evolution
- Session 4 Software Technology and Engineering
- 33. MobileObject: Fundamentals
- Session 5 Software Technology and Engineering
- 44. Abasic for Intrusion Detection System
- 48. Inhibiting Pyrolysis Process for Fiber-Reinforced Composites by Using Flame Retardants Additions
- Session 6 Computer Design and Engineering
- 55. Awareness for the Protection of Endangered Species with Augmented Reality
- Session 7 Computer Design and Engineering
- 66. Low Noise Amplifier at 5.8Ghz with Cascode and Cascaded Techniques UsingT-Matching Network for Wireless Applications
- Session 8 Computer Design and Engineering
- 75. Towards Aeroacoustic Characterization of the Sibilant [S] Production from a Simplified Parameterized Geometric Model of the Oral Cavity
- 81. Computational Algorithm to Estimate Final Costs Based on the Number of Users in Space Structures
- Session 9 Energy and Electrical Systems
- 86. Fault Diagnosis of Power Transformers with Neural Network
- 87. Influence of Particle Size and Temperature on Gasification Performance in Externally Heated Gasifier
- 90. Application of Mesh Adaptive Direct Search Method to Power System Valve-Point Economic Load Dispatch
- Session 10 Energy and Electrical Systems
- 98. Effect of Segmented Contacts on Fuel Cell Performance Using 3-D Modelling
Chapter Contents
- Abstract
- Key Words
- 1. Introduction
- 2. Literature Review
- 3. Trust in a Hybrid Recommender System
- 4. Prototype
- 5. Conclusion
- References
Excerpt
A huge number of information is available nowadays and it keeps increasing every day. As such, the need for recommender system to recommend relevant items or information is in high demand. Furthermore, recommender system is expected to deliver relevant items from a trustable source. In this paper, we proposed a new trust calculation that is incorporated into a hybrid recommender system. Our new trust calculation is calculated based on user's score in a particular system, and its potential implementation is demonstrated through a prototype design.
©2011 ASME


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