Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook

Forouzandeh Saman; Aghdam Atae Rezaei; Forouzandeh Soran; Xu Shuxiang

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Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook

机译：使用数据挖掘技术解决冷启动问题，并通过Cuckoo算法改进推荐系统：Facebook的案例研究

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One of the most common problems in recommender systems is a "cold-start" problem, which is related to users who do not indicate any behavior on social media. This paper proposes a solution for tackling this problem by using data mining techniques and improving the recommender systems by using the Cuckoo algorithm.

机译：推荐系统中最常见的问题之一是一个“冷启动”问题，与不指示社交媒体上任何行为的用户有关。本文提出了通过使用杜鹃算法使用数据挖掘技术和改进推荐系统来解决该问题的解决方案。

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来源
《Computing in science & engineering》 |2020年第4期|62-73|共12页
作者
Forouzandeh Saman; Aghdam Atae Rezaei; Forouzandeh Soran; Xu Shuxiang;
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作者单位

Univ Appl Sci & Technol Dept Comp Engn Tehran Iran|Ctr Tehran Municipal ICT Org Tehran Iran;

Ctr Tehran Municipal ICT Org Tehran Iran|Univ Appl Sci & Technol Informat Technol Dept Tehran Iran;

Ctr Tehran Municipal ICT Org Tehran Iran|Univ Appl Sci & Technol Tehran Iran;

Univ Tasmania Sch Technol Environm & Design Hobart Tas Australia;

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原文格式 PDF
正文语种 eng
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关键词
Facebook; Recommender systems; Data mining; Clustering algorithms; Optimization; Software; Recommender Systems; Data Mining; Social Networks; Cold-start; Cuckoo Algorithm;

机译：Facebook;推荐系统;数据挖掘;聚类算法;优化;软件;推荐系统;数据挖掘;社交网络;冷启动;CUCKOO算法;

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专利

1. Improving electronic customers' profile in recommender systems using data mining techniques [J] . Gholamian M., Fathian M., Julashokri M., Management Science Letters . 2011,第4期

机译：使用数据挖掘技术改善推荐系统中的电子客户资料
2. Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems [J] . Joanna Misztal-Radecka, Bipin Indurkhya, Aleksander Smywihski-Pohl User modeling and user-adapted interaction . 2021,第2期

机译：Meta-User2VEC模型用于在推荐系统中寻址用户和项目冷启动问题
3. Recommender Systems to Address New User Cold-Start Problem with User Side Information [J] . M. Sunitha, T. Adilakshmi IOSR journal of computer engineering . 2016,第2期

机译：推荐系统使用用户端信息解决新用户冷启动问题
4. A two-stage technique to improve intrusion detection systems based on data mining algorithms [C] . Fatma Hachmi, Mohamed Limam International Conference on Modeling, Simulation and Applied Optimization . 2013

机译：一种基于数据挖掘算法的入侵检测系统改进技术
5. Investigation of techniques to increase the scalability of graph based data mining algorithms. [D] . Inavolu, Srilatha. 2006

机译：研究增加基于图的数据挖掘算法的可伸缩性的技术。
6. Promoting Cold-Start Items in Recommender Systems [O] . Jin-Hu Liu, Tao Zhou, Zi-Ke Zhang, -1

机译：促进推荐系统中的冷启动项
7. Improving electronic customers' profile in recommender systems using data mining techniques [O] . Mohammad Julashokri, Mohammad Fathian, Mohammad Reza Gholamian, 2011

机译：使用数据挖掘技术改进推荐系统中的电子客户档案

Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook

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