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Recommendation and search in social networks [electronic resource]

Recommendation and search in social networks [electronic resource]

자료유형
E-Book(소장)
개인저자
Ulusoy, Özgür. Tansel, Abdullah Uz. Arkun, Erol.
서명 / 저자사항
Recommendation and search in social networks [electronic resource] / Özgür Ulusoy, Abdullah Uz Tansel, Erol Arkun, editors.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2015.  
형태사항
1 online resource (xi, 289 p.) : ill. (some col.).
총서사항
Lecture notes in social networks,2190-5428
ISBN
9783319143798
요약
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.
일반주기
Title from e-Book title page.  
내용주기
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.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Computer science. Recommender systems (Information filtering). Information retrieval. Data mining. Online social networks.
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020 ▼a 9783319143798
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245 0 0 ▼a Recommendation and search in social networks ▼h [electronic resource] / ▼c Özgür Ulusoy, Abdullah Uz Tansel, Erol Arkun, editors.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xi, 289 p.) : ▼b ill. (some col.).
490 1 ▼a Lecture notes in social networks, ▼x 2190-5428
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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.
520 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer science.
650 0 ▼a Recommender systems (Information filtering).
650 0 ▼a Information retrieval.
650 0 ▼a Data mining.
650 0 ▼a Online social networks.
700 1 ▼a Ulusoy, Özgür.
700 1 ▼a Tansel, Abdullah Uz.
700 1 ▼a Arkun, Erol.
830 0 ▼a Lecture notes in social networks.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-14379-8
945 ▼a KLPA
991 ▼a E-Book(소장)

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