Research on Personalized Recommendation Based on Web Usage Mining Using Collaborative Filtering Technique

Taowei Wang; Yibo Ren

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Research on Personalized Recommendation Based on Web Usage Mining Using Collaborative Filtering Technique

机译：基于协同过滤技术的Web用法挖掘的个性化推荐研究

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Collaborative filtering is the most successful technology for building personalized recommendation system and is extensively used in many fields. This paper presents a system architecture of personalized recommendation using collaborative filtering based on web usage mining and describes detailedly data preparation process. To improve recommending quantity, a new personalized recommendaton model is proposed in which takes the good consideration of URL related analysis and combines the K-means algorithm. Experimental results show that our proposed model is effective and can enhance the performance of recommendation.

机译：协作过滤是构建个性化推荐系统的最成功技术，已广泛应用于许多领域。本文提出了一种基于Web使用情况挖掘的使用协作过滤的个性化推荐系统架构，并详细介绍了数据准备过程。为了提高推荐量，提出了一种新的个性化推荐模型，该模型充分考虑了URL相关分析，并结合了K-means算法。实验结果表明，我们提出的模型是有效的，可以增强推荐的性能。

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《WSEAS Transactions on Information Science and Applications》 |2009年第3期|共11页
作者
Taowei Wang; Yibo Ren;
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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
Collaborative filtering; Personalized recommendation; Web usage mining; Data preparation; Cluster algorithm; Similarity;

机译：协同过滤;个性化推荐;Web使用挖掘;数据准备;聚类算法;相似性;

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专利

1. Research on Personalized Recommendation Based on Web Usage Mining Using Collaborative Filtering Technique [J] . Taowei Wang, Yibo Ren WSEAS Transactions on Information Science and Applications . 2009,第1a3期

机译：基于协同过滤技术的Web用法挖掘的个性化推荐研究
2. Personalized recommendation of learning material using sequential pattern mining and attribute based collaborative filtering [J] . Mojtaba Salehi, Isa Nakhai Kamalabadi, Mohammad Bagher Ghaznavi Ghoushchi Education and information technologies . 2014,第4期

机译：使用顺序模式挖掘和基于属性的协作过滤对学习材料进行个性化推荐
3. ICFR: An effective incremental collaborative filtering based recommendation architecture for personalized websites [J] . Yayuan Tang, Kehua Guo, Ruifang Zhang, World Wide Web . 2020,第2期

机译：ICFR：针对个性化网站的基于有效增量协作筛选的推荐体系结构
4. Research of the personalized recommender for E-Commerce based on web usage mining and collaborative filtering technique [C] . Xinmeng Zhang, Shengyi Jiang 2011 International Conference on Computer Science and Service System . 2011

机译：基于Web使用挖掘和协同过滤技术的个性化电子商务推荐器研究。
5. Toward better website usage: Leveraging data mining techniques and rough set learning to construct better-to-use websites. [D] . Khasawneh, Natheer Yousef. 2005

机译：更好地使用网站：利用数据挖掘技术和粗糙集学习来构建使用更好的网站。
6. A Personalized QoS Prediction Approach for CPS Service Recommendation Based on Reputation and Location-Aware Collaborative Filtering [O] . Li Kuang, Long Yu, Lan Huang, 2018

机译：基于信誉和位置感知协同过滤的CPS服务推荐个性化QoS预测方法
7. Integrating Collaborative Filtering and Search-based Techniques for Personalized Online Product Recommendation [O] . Noraswaliza Abdullah, Universiti Teknikal, Malaysia Melaka, 2015

机译：将协作过滤和基于搜索的技术集成到个性化在线产品推荐中

Research on Personalized Recommendation Based on Web Usage Mining Using Collaborative Filtering Technique

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