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Web Information Systems Engineering – WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I

Overview of attention for book
Cover of 'Web Information Systems Engineering – WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I'

Table of Contents

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    Book Overview
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    Chapter 1 Coupled Item-Based Matrix Factorization
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    Chapter 2 A Lot of Slots – Outliers Confinement in Review-Based Systems
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    Chapter 3 A Unified Model for Community Detection of Multiplex Networks
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    Chapter 4 Mining Domain-Specific Dictionaries of Opinion Words
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    Chapter 5 A Community Detection Algorithm Based on the Similarity Sequence
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    Chapter 6 A Self-learning Clustering Algorithm Based on Clustering Coefficient
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    Chapter 7 Detecting Hierarchical Structure of Community Members by Link Pattern Expansion Method
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    Chapter 8 An Effective TF/IDF-Based Text-to-Text Semantic Similarity Measure for Text Classification
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    Chapter 9 Automatically Annotating Structured Web Data Using a SVM-Based Multiclass Classifier
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    Chapter 10 Web Information Systems Engineering – WISE 2014
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    Chapter 11 Modelling Visit Similarity Using Click-Stream Data: A Supervised Approach
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    Chapter 12 Web Information Systems Engineering – WISE 2014
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    Chapter 13 Phrase Queries with Inverted + Direct Indexes
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    Chapter 14 Ranking Based Activity Trajectory Search
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    Chapter 15 Web Information Systems Engineering – WISE 2014
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    Chapter 16 A Decremental Search Approach for Large Scale Dynamic Ridesharing
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    Chapter 17 Model-Based Search and Ranking of Web APIs across Multiple Repositories
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    Chapter 18 Common Neighbor Query-Friendly Triangulation-Based Large-Scale Graph Compression
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    Chapter 19 Continuous Monitoring of Top-k Dominating Queries over Uncertain Data Streams
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    Chapter 20 Keyword Search over Web Documents Based on Earth Mover’s Distance
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    Chapter 21 iPoll: Automatic Polling Using Online Search
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    Chapter 22 Comparing the Predictive Capability of Social and Interest Affinity for Recommendations
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    Chapter 23 End-User Browser-Side Modification of Web Pages
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    Chapter 24 Mobile Phone Recommendation Based on Phone Interest
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    Chapter 25 Two Approaches to the Dataset Interlinking Recommendation Problem
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    Chapter 26 Exploiting Perceptual Similarity: Privacy-Preserving Cooperative Query Personalization
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    Chapter 27 Identifying Explicit Features for Sentiment Analysis in Consumer Reviews
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    Chapter 28 Facet Tree for Personalized Web Documents Organization
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    Chapter 29 Mobile Web User Behavior Modeling
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    Chapter 30 Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis
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    Chapter 31 Web Information Systems Engineering – WISE 2014
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    Chapter 32 A Genetic Programming Approach for Learning Semantic Information Extraction Rules from News
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    Chapter 33 Ontology-Based Management of Conflicting Products in Pixel Advertising
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    Chapter 34 Exploiting Semantic Result Clustering to Support Keyword Search on Linked Data
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    Chapter 35 Discovering Semantic Mobility Pattern from Check-in Data
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    Chapter 36 An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic Planners
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    Chapter 37 Agents, Models and Semantic Integration in Support of Personal eHealth Knowledge Spaces
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    Chapter 38 Probabilistic Associations as a Proxy for Semantic Relatedness
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    Chapter 39 A Hybrid Model for Learning Semantic Relatedness Using Wikipedia-Based Features
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    Chapter 40 An Ontology-Based Approach for Product Entity Resolution on the Web
Attention for Chapter 28: Facet Tree for Personalized Web Documents Organization
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Chapter title
Facet Tree for Personalized Web Documents Organization
Chapter number 28
Book title
Web Information Systems Engineering – WISE 2014
Published in
Lecture notes in computer science, October 2014
DOI 10.1007/978-3-319-11749-2_28
Book ISBNs
978-3-31-911748-5, 978-3-31-911749-2
Authors

Róbert Móro, Mária Bieliková, Roman Burger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Professor 2 22%
Unspecified 1 11%
Student > Master 1 11%
Researcher 1 11%
Other 2 22%
Readers by discipline Count As %
Computer Science 5 56%
Business, Management and Accounting 1 11%
Unspecified 1 11%
Engineering 1 11%
Design 1 11%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2014.
All research outputs
#4,672,562
of 22,771,140 outputs
Outputs from Lecture notes in computer science
#1,542
of 8,123 outputs
Outputs of similar age
#53,644
of 256,316 outputs
Outputs of similar age from Lecture notes in computer science
#83
of 262 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 256,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.