Development of E-Commerce Recommendation System Based on FP-Growth Algorithm
Author:
Affiliation:
1. College of Information Science and Technology, Bohai University,Jinzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10499280/10498137/10499359.pdf?arnumber=10499359
Reference10 articles.
1. A Flexible Session-Based Recommender System for e-Commerce
2. OCA: Ordered Clustering-Based Algorithm for E-Commerce Recommendation System
3. A Recommendation System in E-Commerce with Profit-Support Fuzzy Association Rule Mining (P-FARM)
4. A Novel Approach of Product Recommendation Using Utility-Based Association Rules
5. An optimized FP-growth algorithm for discovery of association rules
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