Recommendation and search in social networks
Title By: Ulusoy Ozgur [Edited by] | Tansel, Abdullah Uz [Edited by] | Arkun, Erol [Edited by]
Material type: BookSeries: Publisher: New York : Springer International Publishing : c2015.Description: xi, 289 p. : ill. ; 24 cm.ISBN: 9783319143781Subject(s): Computer science | Data mining | Physics | EngineeringDDC classification: 006.312 RE CO Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 006.312 RE CO (Browse shelf) | Available | T0057928 |
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006.312 PA HA Harness the power of Big Data : | 006.312 PR DA Data science for business | 006.312 PR ED Prediction and inference from social networks and social media | 006.312 RE CO Recommendation and search in social networks | 006.312 RO DA Data mining with decision trees : | 006.312 RO DA Data science and analytics with Python | 006.312 RU MI Mining the social web |
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.
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 pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.