Reputation model based on rating data and application in recommender systems

Abdel-Hafez, Ahmad J (2016) Reputation model based on rating data and application in recommender systems. PhD thesis, Queensland University of Technology.

Abstract

This thesis introduced two novel reputation models to generate accurate item reputation scores using ratings data and the statistics of the dataset. It also presented an innovative method that incorporates reputation awareness in recommender systems by employing voting system methods to produce more accurate top-N item recommendations. Additionally, this thesis introduced a personalisation method for generating reputation scores based on users' interests, where a single item can have different reputation scores for different users. The personalised reputation scores are then used in the proposed reputation-aware recommender systems to enhance the recommendation quality.

Impact and interest:

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Full-text downloads:

94 since deposited on 21 Apr 2016
94 in the past twelve months

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ID Code: 93808
Item Type: QUT Thesis (PhD)
Supervisor: Xu, Yue & Tjondronegoro, Dian
Keywords: Reputation System, Recommender System, Personalised Reputation, Ratings Aggregation, Beta Distribution, Normal Distribution
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 21 Apr 2016 22:19
Last Modified: 21 Apr 2016 22:19

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