Multidimensional credibility model for neighbor selection in collaborative recommendation

Authors:
Kwiseok Kwon;Jinhyung Cho;Yongtae Park
Affiliations:
Interdisciplinary Graduate Program of Technology and Management, Seoul National University, 599, Kwanak Street, Kwanak-Gu, Seoul, Republic of Korea;School of Computing and Information, Dongyang Technical College, Seoul, Republic of Korea;Interdisciplinary Graduate Program of Technology and Management, Seoul National University, 599, Kwanak Street, Kwanak-Gu, Seoul, Republic of Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 16
Cited 17

Social information filtering: algorithms for automating “word of mouth”

CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An algorithmic framework for performing collaborative filtering

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of recommendation algorithms for e-commerce

Proceedings of the 2nd ACM conference on Electronic commerce
An algorithm for automated rating of reviewers

Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
E-Commerce Trust Metrics and Models

IEEE Internet Computing
Promoting Recommendations: An Attack on Collaborative Filtering

DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Evaluating collaborative filtering recommender systems

ACM Transactions on Information Systems (TOIS)
Trust in recommender systems

Proceedings of the 10th international conference on Intelligent user interfaces
Is trust robust?: an analysis of trust-based recommendation

Proceedings of the 11th international conference on Intelligent user interfaces
A multidimensional trust formation model in B-to-C e-commerce: a conceptual framework and content analyses of academia/practitioner perspectives

Decision Support Systems
Improving collaborative filtering with trust-based metrics

Proceedings of the 2006 ACM symposium on Applied computing
A survey of trust and reputation systems for online service provision

Decision Support Systems
Design of a shopbot and recommender system for bundle purchases

Decision Support Systems
Collaborative Filtering Using Dual Information Sources

IEEE Intelligent Systems
A collaborative filtering-based approach to personalized document clustering

Decision Support Systems
Implicit user credibility extraction for reputation rating mechanism in B2C e-commerce

International Journal of Intelligent Information and Database Systems

Influences of customer preference development on the effectiveness of recommendation strategies

Electronic Commerce Research and Applications
How to best characterize the personalization construct for e-services

Expert Systems with Applications: An International Journal
Predicting Neighbor Goodness in Collaborative Filtering

FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Towards the measurement of Arabic Weblogs credibility automatically

Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
A performance prediction approach to enhance collaborative filtering performance

ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Semantic inference of user's reputation and expertise to improve collaborative recommendations

Expert Systems with Applications: An International Journal
Collaboration-based medical knowledge recommendation

Artificial Intelligence in Medicine
A literature review and classification of recommender systems research

Expert Systems with Applications: An International Journal
How to design personalization in a context of customer retention: Who personalizes what and to what extent?

Electronic Commerce Research and Applications
A framework for collaborative filtering recommender systems

Expert Systems with Applications: An International Journal
A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis

Electronic Commerce Research and Applications
Incorporating reliability measurements into the predictions of a recommender system

Information Sciences: an International Journal
From credit and risk to trust: towards a credit flow based trust model for social networks

Proceedings of the 17th ACM international conference on Supporting group work
A personalized trustworthy seller recommendation in an open market

Expert Systems with Applications: An International Journal
A new similarity function for selecting neighbors for each target item in collaborative filtering

Knowledge-Based Systems
Recommender systems survey

Knowledge-Based Systems
Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach

ACM Transactions on the Web (TWEB)

Quantified Score

Hi-index	12.06

Visualization

Abstract

Collaborative filtering (CF) is the most commonly applied recommendation system for personalized services. Since CF systems rely on neighbors as information sources, the recommendation quality of CF depends on the recommenders selected. However, conventional CF has some fundamental limitations in selecting neighbors: recommender reliability proof, theoretical lack of credibility attributes, and no consideration of customers' heterogeneous characteristics. This study employs a multidimensional credibility model, source credibility from consumer psychology, and provides a theoretical background for credible neighbor selection. The proposed method extracts each consumer's importance weights on credibility attributes, which improves the recommendation performance by personalizing recommendations.