Maximizing customer satisfaction through an online recommendation system: A novel associative classification model

Authors:
Yuanchun Jiang;Jennifer Shang;Yezheng Liu
Affiliations:
School of Management, Hefei University of Technology, Hefei, Anhui 230009, China and The Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA 15260, USA;The Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA 15260, USA;School of Management, Hefei University of Technology, Hefei, Anhui 230009, China and Key Laboratory of Process Optimization and Intelligent Decision Making, Ministry of Education, Hefei, Anhui 230 ...
Venue:
Decision Support Systems
Year:
2010

Citing 24
Cited 19

Using collaborative filtering to weave an information tapestry

Communications of the ACM - Special issue on information filtering
C4.5: programs for machine learning

C4.5: programs for machine learning
GroupLens: applying collaborative filtering to Usenet news

Communications of the ACM
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules

ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Fast Algorithms for Mining Association Rules in Large Databases

VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining customer product ratings for personalized marketing

Decision Support Systems - Special issue: Web data mining
Evaluating collaborative filtering recommender systems

ACM Transactions on Information Systems (TOIS)
Item-based top-N recommendation algorithms

ACM Transactions on Information Systems (TOIS)
The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms

Management Science
An intelligent system for customer targeting: a data mining approach

Decision Support Systems
Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software

Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
A greedy classification algorithm based on association rule

Applied Soft Computing
When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry

Journal of Management Information Systems
A review of associative classification mining

The Knowledge Engineering Review
A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation

Data & Knowledge Engineering
Modeling consumer situational choice of long distance communication with neural networks

Decision Support Systems
Multiclass SVM-RFE for product form feature selection

Expert Systems with Applications: An International Journal
A semantic-expansion approach to personalized knowledge recommendation

Decision Support Systems
A Bayesian network and analytic hierarchy process based personalized recommendations for tourist attractions over the Internet

Expert Systems with Applications: An International Journal
Representation, similarity measures and aggregation methods using fuzzy sets for content-based recommender systems

Fuzzy Sets and Systems
CSMC: A combination strategy for multi-class classification based on multiple association rules

Knowledge-Based Systems
A maximum entropy approach to feature selection in knowledge-based authentication

Decision Support Systems
eWOM overload and its effect on consumer behavioral intention depending on consumer involvement

Electronic Commerce Research and Applications
A personalized recommendation system based on product taxonomy for one-to-one marketing online

Expert Systems with Applications: An International Journal

Recommender system based on workflow

Decision Support Systems
Information markets for product attributes: A game theoretic, dual pricing mechanism

Decision Support Systems
Collaborative error-reflected models for cold-start recommender systems

Decision Support Systems
Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain

Expert Systems with Applications: An International Journal
A personalized route recommendation service for theme parks using RFID information and tourist behavior

Decision Support Systems
Adjusting and generalizing CBA algorithm to handling class imbalance

Expert Systems with Applications: An International Journal
Consumer-based decision aid that explains which to buy: Decision confirmation or overconfidence bias?

Decision Support Systems
Identifying consumer consideration set at the purchase time from aggregate purchase data in online retailing

Decision Support Systems
Increasing the effectiveness of associative classification in terms of class imbalance by using a novel pruning algorithm

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
Combining social network and semantic concept analysis for personalized academic researcher recommendation

Decision Support Systems
A trust-semantic fusion-based recommendation approach for e-business applications

Decision Support Systems
A diffusion mechanism for social advertising over microblogs

Decision Support Systems
Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach

Decision Support Systems
Differential Effects of Provider Recommendations and Consumer Reviews in E-Commerce Transactions: An Experimental Study

Journal of Management Information Systems
Attribute-based collaborative filtering using genetic algorithm and weighted C-means algorithm

International Journal of Business Information Systems
A hybrid recommendation approach based on attributes of products using genetic algorithm and naive Bayes classifier

International Journal of Business Information Systems
Associative classification using a bio-inspired algorithm

AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
CBC: An associative classifier with a small number of rules

Decision Support Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Offering online personalized recommendation services helps improve customer satisfaction. Conventionally, a recommendation system is considered as a success if clients purchase the recommended products. However, the act of purchasing itself does not guarantee satisfaction and a truly successful recommendation system should be one that maximizes the customer's after-use gratification. By employing an innovative associative classification method, we are able to predict a customer's ultimate pleasure. Based on customer's characteristics, a product will be recommended to the potential buyer if our model predicts his/her satisfaction level will be high. The feasibility of the proposed recommendation system is validated through laptop Inspiron 1525.