Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Building consumer trust online
Communications of the ACM
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Neural network credit scoring models
Computers and Operations Research - Neural networks in business
The Economics of Electronic Commerce
The Economics of Electronic Commerce
The value of seller trustworthiness in C2C online markets
Communications of the ACM
Personalization of Supermarket Product Recommendations
Data Mining and Knowledge Discovery
Behavioral Model of Online Purchasers in E-Commerce Environment
Electronic Commerce Research
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Measuring user perceptions of web site reputation
Information Processing and Management: an International Journal
What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology
International Journal of Electronic Commerce
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
Recommending trusted online auction sellers using social network analysis
Expert Systems with Applications: An International Journal
Do online reviews matter? - An empirical investigation of panel data
Decision Support Systems
Individual and group behavior-based customer profile model for personalized product recommendation
Expert Systems with Applications: An International Journal
Multidimensional credibility model for neighbor selection in collaborative recommendation
Expert Systems with Applications: An International Journal
Handling sequential pattern decay: Developing a two-stage collaborative recommender system
Electronic Commerce Research and Applications
A hybrid recommendation technique based on product category attributes
Expert Systems with Applications: An International Journal
Personalized Recommendation over a Customer Network for Ubiquitous Shopping
IEEE Transactions on Services Computing
Building credit scoring models using genetic programming
Expert Systems with Applications: An International Journal
Hybrid mining approach in the design of credit scoring models
Expert Systems with Applications: An International Journal
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
Providing Justifications in Recommender Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
| Hi-index | 12.05 |
Although more and more customers are buying products on online stores, they have a difficulty in selecting a both trustworthy and suitable seller who sells a product they want to buy since there is a plenty number of sellers who sell the same product with different options. Therefore, the objective of this research is to propose a personalized trustworthy seller recommendation system for the customers of an open market in Korea. To that end, we first developed a module which classifies sellers into trustworthy one or not using a classification technique such as decision tree, and then developed another module which makes use of the content-based filtering method to find best-matching top k sellers among the selected trustworthy sellers. Experimental results show that our approach is worthwhile to take. This study makes a contribution at least in that to our knowledge it is the first attempt to recommend sellers, not products as done in most other studies, to customers.