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Proceedings of the 7th International Conference on Emerging Databases

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Table of Contents

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    Book Overview
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    Chapter 1 Optimizing MongoDB Using Multi-streamed SSD
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    Chapter 2 Quadrant-Based MBR-Tree Indexing Technique for Range Query Over HBase
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    Chapter 3 Migration from RDBMS to Column-Oriented NoSQL: Lessons Learned and Open Problems
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    Chapter 4 Personalized Social Search Based on User Context Analysis
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    Chapter 5 Dynamic Partitioning of Large Scale RDF Graph in Dynamic Environments
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    Chapter 6 Efficient Combined Algorithm for Multiplication and Squaring for Fast Exponentiation over Finite Fields $$GF(2^{m})$$
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    Chapter 7 Efficient Processing of Alternating Least Squares on a Single Machine
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    Chapter 8 Parallel Compression of Weighted Graphs
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    Chapter 9 An Efficient Subgraph Compression-Based Technique for Reducing the I/O Cost of Join-Based Graph Mining Algorithms
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    Chapter 10 Smoothing of Trajectory Data Recorded in Harsh Environments and Detection of Outlying Trajectories
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    Chapter 11 SSDMiner: A Scalable and Fast Disk-Based Frequent Pattern Miner
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    Chapter 12 A Study on Adjustable Dissimilarity Measure for Efficient Piano Learning
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    Chapter 13 A Mapping Model to Match Context Sensing Data to Related Sentences
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    Chapter 14 Understanding User’s Interests in NoSQL Databases in Stack Overflow
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    Chapter 15 MultiPath MultiGet: An Optimized Multiget Method Leveraging SSD Internal Parallelism
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    Chapter 16 An Intuitive and Efficient Web Console for AsterixDB
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    Chapter 17 Who Is Answering to Whom? Finding “Reply-To” Relations in Group Chats with Long Short-Term Memory Networks
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    Chapter 18 Search & Update Optimization of a B $$^+$$ Tree in a Hardware Aided Semantic Web Database System
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    Chapter 19 Multiple Domain-Based Spatial Keyword Query Processing Method Using Collaboration of Multiple IR-Trees
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    Chapter 20 Exploring a Supervised Learning Based Social Media Business Sentiment Index
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    Chapter 21 Data and Visual Analytics for Emerging Databases
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    Chapter 22 A Method to Maintain Item Recommendation Equality Among Equivalent Items in Recommender Systems
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    Chapter 23 Time-Series Analysis for Price Prediction of Opportunistic Cloud Computing Resources
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    Chapter 24 Block-Incremental Deep Learning Models for Timely Up-to-Date Learning Results
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    Chapter 25 Harmonic Mean Based Soccer Team Formation Problem
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    Chapter 26 Generating a New Dataset for Korean Scene Text Recognition with Augmentation Techniques
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    Chapter 27 Markov Regime-Switching Models for Stock Returns Along with Exchange Rates and Interest Rates in Korea
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    Chapter 28 A New Method for Portfolio Construction Using a Deep Predictive Model
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    Chapter 29 Personalized Information Visualization of Online Product Reviews
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    Chapter 30 A Trail Detection Using Convolutional Neural Network
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    Chapter 31 Design of Home IoT System Based on Mobile Messaging Applications
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    Chapter 32 A Design of Group Recommendation Mechanism Considering Opportunity Cost and Personal Activity Using Spark Framework
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    Chapter 33 EEUM: Explorable and Expandable User-Interactive Model for Browsing Bibliographic Information Networks
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    Chapter 34 Proximity and Direction-Based Subgroup Familiarity-Analysis Model
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    Chapter 35 Music Recommendation with Temporal Dynamics in Multiple Types of User Feedback
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    Chapter 36 Effectively and Efficiently Supporting Encrypted OLAP Queries over Big Data: Models, Issues, Challenges
Attention for Chapter 22: A Method to Maintain Item Recommendation Equality Among Equivalent Items in Recommender Systems
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Chapter title
A Method to Maintain Item Recommendation Equality Among Equivalent Items in Recommender Systems
Chapter number 22
Book title
Proceedings of the 7th International Conference on Emerging Databases
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-6520-0_22
Book ISBNs
978-9-81-106519-4, 978-9-81-106520-0
Authors

Yeo-jin Hong, Shineun Lee, Young-ho Park

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Medicine and Dentistry 1 50%