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Applications of Soft Computing for the Web

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Cover of 'Applications of Soft Computing for the Web'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Context Similarity Measurement Based on Genetic Algorithm for Improved Recommendations
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    Chapter 3 Enhanced Multi-criteria Recommender System Based on AHP
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    Chapter 4 Book Recommender System Using Fuzzy Linguistic Quantifiers
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    Chapter 5 Use of Soft Computing Techniques for Recommender Systems: An Overview
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    Chapter 6 Hierarchical Summarization of News Tweets with Twitter-LDA
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    Chapter 7 Bibliographic Data Extraction from the Web Using Fuzzy-Based Techniques
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    Chapter 8 Crop Selection Using Fuzzy Logic-Based Expert System
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    Chapter 9 Fuzzy Logic Based Web Application for Gynaecology Disease Diagnosis
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    Chapter 10 An Improved Clustering Method for Text Documents Using Neutrosophic Logic
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    Chapter 11 Fuzzy Game Theory for Web Security
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    Chapter 12 Fuzzy Models and Business Intelligence in Web-Based Applications
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    Chapter 13 GSA-CHSR: Gravitational Search Algorithm for Cluster Head Selection and Routing in Wireless Sensor Networks
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    Chapter 14 Utilizing Genetic-Based Heuristic Approach to Optimize QOS in Networks
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    Chapter 15 V-MFO: Variable Flight Mosquito Flying Optimization
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    Chapter 16 Conclusion
Attention for Chapter 5: Use of Soft Computing Techniques for Recommender Systems: An Overview
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Citations

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Chapter title
Use of Soft Computing Techniques for Recommender Systems: An Overview
Chapter number 5
Book title
Applications of Soft Computing for the Web
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-7098-3_5
Book ISBNs
978-9-81-107097-6, 978-9-81-107098-3
Authors

Mohammed Wasid, Rashid Ali

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Doctoral Student 1 17%
Other 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 3 50%
Unknown 3 50%

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