An Association Rules and Sequential Rules Based Recommendation System

被引：0

作者：

Liao, Shu ^{[1
]}

Zou, Tengyue ^{[1
]}

Chang, Huiyou ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Dept Comp Sci, Guangzhou 510275, Guangdong, Peoples R China

来源：

2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年

关键词：

Data-mining; Association rules; Sequential rules; Recommendation System;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Nowadays, more and more researches focus on how to provide products for customers based on their interests. Recommendation system in electronic is one of the applications that are based on such mechanism. We designed and implemented an electronic commerce recommendation system used both association rules and sequential rules which is called ASRS(Association rules and Sequential rules based Recommendation System). Compared with conventional methods, more useful results can be found for using the ASRS.

引用

下载

页码：11144 / 11147

页数：4

共 50 条

[31] Recommender system based on pairwise association rules
Osadchiy, Timur
Poliakov, Ivan
Olivier, Patrick
Rowland, Maisie
Foster, Emma
EXPERT SYSTEMS WITH APPLICATIONS, 2019, 115 : 535 - 542
[32] Mining Frequent Sequential Patterns and Association Rules on Campus Map System
Tang, Yeming
Tong, Qiuli
Du, Zhao
2014 2ND INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2014, : 954 - 958
[33] Recommendation System using Hybrid Fuzzy Association Rules for Human Smart Cities
Convertini, Nicola
Logrillo, Nicola
Manca, Fabio
Palmisano, Tonino
2018 AEIT INTERNATIONAL ANNUAL CONFERENCE, 2018,
[34] PRODUCT RECOMMENDATION SYSTEM FOR SMALL ONLINE RETAILERS USING ASSOCIATION RULES MINING
Chen, Junnan
Miller, Courtney
Dagher, Gaby G.
PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON INNOVATIVE DESIGN AND MANUFACTURING (ICIDM), 2014, : 71 - 77
[35] A Recommendation System for Repetitively Purchasing Items in E-commerce Based on Collaborative Filtering and Association Rules
Choi, Yoon Kyoung
Kim, Sung Kwon
JOURNAL OF INTERNET TECHNOLOGY, 2018, 19 (06): : 1691 - 1698
[36] Mining Significant Granular Association Rules for Diverse Recommendation
Min, Fan
Zhu, William
ROUGH SETS AND CURRENT TRENDS IN SOFT COMPUTING, RSCTC 2014, 2014, 8536 : 120 - 127
[37] Approach of association rules mining with maximal nonblank for recommendation
Wang, Da-Ling
Yu, Ge
Bao, Yu-Bin
Ruan Jian Xue Bao/Journal of Software, 2004, 15 (08): : 1182 - 1188
[38] Application of association rules and clustering analysis to personalized recommendation
Bao, Yu-Bin
Wang, Da-Ling
Yu, Ge
Dongbei Daxue Xuebao/Journal of Northeastern University, 2003, 24 (12): : 1149 - 1152
[39] Simulating the effectiveness of using association rules for recommendation systems
Chun, J
Oh, JY
Kwon, S
Kim, D
SYSTEMS MODELING AND SIMULATION: THEORY AND APPLICATIONS, 2005, 3398 : 306 - 314
[40] The influence of indirect association rules on recommendation ranking lists
Kazienko, P
Kuzminska, K
5TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, PROCEEDINGS, 2005, : 482 - 487

← 1 2 3 4 5 →