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A Collaborative Filtering System of Information on the Internet [chapter]

DongSeop Lee, HyungIl Choi
2002 Lecture Notes in Computer Science  
In this paper we describe a collaborative filtering system for automatically recommending high-quality information to users with similar interests on arbitrarily narrow information domains.  ...  We implemented the suggested system in a Web server and tested its performance in the domain of retrieval of technical papers, especially in the field of information technologies.  ...  Acknowledgement This w ork was supported by the Korea Science and Engineering Foundation (KOSEF) through the Advanced Information Technology Research Center(AITrc).  ... 
doi:10.1007/3-540-47789-6_115 fatcat:psifge54qvcqpc6occtfyb4r5y

A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques [chapter]

Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López, María Dolores Olvera, Karina Anaya
2004 Lecture Notes in Computer Science  
In such a way, the information filtering possibilities of multi-agent system on the Web are increased and its retrieval results are improved.  ...  A solution consists in to assist Internet users in their information gathering processes by means of distributed intelligent agents in order to find the fittest information to their information needs.  ...  Acknowledgements This work has been supported by the Research Project TIC2003-07977.  ... 
doi:10.1007/978-3-540-24681-7_3 fatcat:z4kt3wi5ajekji42zilw6ocghi

Research on Recommendation Algorithms Based on Collaborative Filtering

Yongxia Zhao, Bo Zhang
2019 Journal of Physics, Conference Series  
Collaborative filtering algorithm is the most widely used and successful recommendation algorithm.  ...  With the rapid development of Internet industry in the era of Web 2.0, creation and sharing of content becomes easier and easier, and people's accessing methods to information have changed.  ...  Thank you for providing the experimental platform in Wuhan Donghu University. We have completed the implementation of the algorithm on this platform and the experimental data is presented.  ... 
doi:10.1088/1742-6596/1237/2/022094 fatcat:6444jabnqzehzbg24bfcfoz4ju

Collaborative Filtering Method of Web Service Recommendation Based on Location Aware and Personalized

Li Ziman
2021 Converter  
This paper proposes a collaborative web service recommendation method based on location clustering.  ...  With the rapid growth of the number of Web services, it is necessary to build an efficient web service recommendation system in the face of massive web services.  ...  Collaborative filtering algorithm is rapidly becoming a popular technology in information filtering and information system.  ... 
doi:10.17762/converter.233 fatcat:5524whab2bgrzhevbd3pyajmpu

A Review on: Designing a Recommender System Using Sequential Logs

Anupama Patel, Santosh K. Vishwakarma
2017 International Journal of Engineering Research and  
Recommender system has change the way of searching for information over the internet. The information over the internet is overburden.  ...  This paper has discussed about the types of recommender system like collaborative filtering, content based filtering and hybrid filtering along with the challenges of recommendation system.  ...  Collaborative-Based Filtering Collaborative filtering provides result on the basis of prediction. Collaborative filtering tries to predict the options on the behalf of user.  ... 
doi:10.17577/ijertv6is090171 fatcat:b5apnsyvk5duziwcc4g2uppkq4

RECOMMENDATION SYSTEMS: A REVIEW REPORT

Kunika Arora
2017 International Journal of Advanced Research in Computer Science  
To deal with information overloaded problem on the internet, there is need to filter, efficient and accurately deliver the pertinent information.  ...  So, recommendation system is used to resolve this problem. Recommendation system filters out the information fragment according to user behaviour or interest.  ...  Recommender system resolve the problem of information overloaded and open new opportunities of retrieving individualized information on the internet and access the products and services to the users.  ... 
doi:10.26483/ijarcs.v8i7.4308 fatcat:674hj42fjjatrdv4xg2cc2fkba

Research and Application of Intelligent Recommendation System Based on Big Data Technology

Yongfeng Cui, Yuankun Ma
2016 International Journal of Database Theory and Application  
Experimental results show that compared with traditional collaborative filtering algorithm, the ability of collaborative filtering algorithm based on similarity of item level can significantly improve  ...  Online Intelligence is a new research direction, which integrates the latest achievements of artificial intelligence and information technology, greatly emphasizes on the Internet means intelligent application  ...  U1504602), the Key Research Projects of Universities in Henan Province for contract 15A520035 and 15A520124, the Science and Technology Plan Projects of Henan Province for contract 162102310614, under  ... 
doi:10.14257/ijdta.2016.9.8.23 fatcat:c2utjrd2pngqtenavbn5k4fuky

Comparative Study on Modern Approaches of Recommender System

A. Bhanu Prasad, Dr. N. Sambasiva Rao, K. Subba Rao, B Lakshmi
2018 International Journal of Engineering & Technology  
Recommender system is a kind of tool for filtering information and items of user interest. There are large number of different approaches for filtering data and information.  ...  In this paper a comparative study is made on different modern approaches in particular.  ...  This has lead Researchers to give a solution in the form of Recommender System. Recommender Systems are tools that can filter large amount of information and items according the user's interest.  ... 
doi:10.14419/ijet.v7i4.6.20237 fatcat:tfefzdenm5h4jmunmfz4vxeh5u

5G Multimedia Precision Marketing Based on the Improved Multisensor Node Collaborative Filtering Recommendation Algorithm

Kai Si, Min Zhou, Yingfang Qiao, Gengxin Sun
2021 Journal of Sensors  
The rapid development of web technology has brought new problems and challenges to the recommendation system: on the one hand, the traditional collaborative filtering recommendation algorithm has been  ...  How to extract features from this information, alleviate sparsity and dynamic timeliness, and effectively improve recommendation quality is a hot issue in the research of recommendation system algorithms  ...  Collaborative filtering is one of the most commonly used methods in recommendation systems.  ... 
doi:10.1155/2021/5856140 fatcat:wmjpnsy4ifavridw7x3gyltqsa

Recommendation system using machine learning

Suhasini Parvatikar, Deepa Parasar
2021 International Journal of Artificial Intelligence and Machine Learning  
Due to increase of data on internet, there is an increased dependency on internet by people Thus, recommendation systems help people by suggesting products where is overload of information on ecommerce  ...  This paper study about various techniques used in designing of recommendation system with machine learning algorithm.  ...  Generally, personalized Recommender System (RS) are of 5 types: a) Collaborative based filtering Collaborative filtering systems generally works by collecting users rating for items in a specified field  ... 
doi:10.51483/ijaiml.1.1.2021.24-30 fatcat:zrhiokbur5bqng7d3imuyliitq

Techniques to Improve Multi-Agent Systems for Searching and Mining the Web [chapter]

E. Herrera-Viedma, C. Porcel, F. Herrera, L. Martínez, A.G. Lopez-Herrera
2005 Studies in Computational Intelligence  
The information gathering in Internet is a complex activity and Internet users need tools to assist them to find the information required.  ...  Then, we present a model of a fuzzy linguistic multi-agent system for searching and mining the Web that is designed using some filtering tools and a particular fuzzy linguistic modelling, called multi-granular  ...  On the Web the activity of a multi-agent system consists in to assist Internet users in information gathering processes by means of distributed intelligent agents in order to find the fittest information  ... 
doi:10.1007/11004011_23 fatcat:vm6lymkpurd4lft63okl3ugcyq

Collaborative Filtering Recommendation Algorithm for Heterogeneous Data Mining in the Internet of Things

Ying Gao, Lingxi Ran
2019 IEEE Access  
A collaborative filtering recommendation algorithm based on multi-information source fusion (CFR-MIF) is proposed where a feature vector and time weight function are introduced to improve the accuracy  ...  INDEX TERMS Collaborative filtering recommendation, information fusion, time factor, IOT.  ...  CONCLUSION Aiming at the problem of multi-source heterogeneous data mining often encountered in Internet of Things application system, this paper proposes a collaborative filtering recommendation algorithm  ... 
doi:10.1109/access.2019.2935224 fatcat:jd6fht3fmnenlbvatyf3an7lfe

Collaborative Filtering Fusing Label Features Based on SDAE [chapter]

Huan Huo, Xiufeng Liu, Deyuan Zheng, Zonghan Wu, Shengwei Yu, Liang Liu
2017 Lecture Notes in Computer Science  
Collaborative filtering (CF) is successfully applied to recommendation system by digging the latent features of users and items.  ...  Experiments on real-world data sets show that DLCF can largely overcome the sparsity problem and significantly improves the state of art approaches.  ...  Introduction Recommendation system, as a hot topic in recent years' research, helps people acquire useful information through massive overloading Internet information.  ... 
doi:10.1007/978-3-319-62701-4_17 fatcat:segpjojsdvgqphizjezvc2guxq

A Clustering Based Hybrid Recommendation System for Services in Big Data

2016 International Journal of Science and Research (IJSR)  
Paper presents a system to improve the accuracy of recommendation in big data application.  ...  In order to view this problem this paper provides a hybrid recommendation system which will satisfy the users according to their needs and interest and increase the overall performance of the system.  ...  Collaborative Filtering stage A collaborative filtering algorithm is imposed on one of the clusters.  ... 
doi:10.21275/v5i6.nov164280 fatcat:l2qvgbachvbblmw4mooiiqqfaq

Call for Papers

2009 IEEE Internet Computing  
Overcoming Information Overload (Nov/Dec 2010) Final submissions due 1 March 2010 Please email the guest editors a brief description of the article you plan to submit by 15 February 2010 Guest Editors:  ...  Internet applications have evolved from centralized computing platforms to distributed collaborative network computing systems.  ... 
doi:10.1109/mic.2009.124 fatcat:iwfkkwwvp5f4vhcck3sxaw2fve
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