Recommendation and search in social networks /
This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing patte...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing Imprint: Springer
2015.
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| Series: | Lecture Notes in Social Networks,
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| Subjects: | |
| Online Access: | Click here to view the full text content |
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Table of Contents:
- Adaptive Identification of Hashtags for Real-Time Event Data Collection
- Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication
- Accuracy vs Novelty & Diversity in Recommender Systems: A Non-Uniform Random Walk Approach
- Social Network Derived Credibility
- Anonymizing Social Network Data for Maximal Frequent-Sharing Pattern Mining
- A Comprehensive Analysis of Detection of Online Paid Posters
- An Improved Collaborative Recommendation System by Integration of Social Tagging Data
- Personalization of Web Search using Social Signals
- The Pareto Principle is Everywhere: Finding Informative Sentences for Opinion Summarization through Leader Detection
- Social Media Question Asking: A Developing Country Perspective
- Evolutionary Influence Maximization in Viral-Marketing
- Mining and Analyzing the Italian Parliament: Party Structure and Evolution.