000 03751nam a22004695i 4500
003 DE-He213
005 20231104114411.0
007 cr nn 008mamaa
008 150212s2015 gw | s |||| 0|eng d
020 _a9783319143798
_z978-3-319-14379-8
024 7 _a10.1007/978-3-319-14379-8
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema006.312
_223
245 1 0 _aRecommendation and Search in Social Networks /
_cedited by Özgür Ulusoy, Abdullah Uz Tansel, Erol Arkun.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aLecture Notes in Social Networks,
_x2190-5428
505 0 _aAdaptive 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 _aThis 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.
650 0 _aData mining.
650 0 _aEngineering.
650 1 4 _aData Mining and Knowledge Discovery.
_0http://scigraph.springernature.com/things/product-market-codes/I18030
650 2 4 _aMedia Sociology.
_0http://scigraph.springernature.com/things/product-market-codes/X22110
650 2 4 _aApplications of Graph Theory and Complex Networks.
_0http://scigraph.springernature.com/things/product-market-codes/P33010
650 2 4 _aComplexity.
_0http://scigraph.springernature.com/things/product-market-codes/T11022
700 1 _aUlusoy, Özgür.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTansel, Abdullah Uz.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aArkun, Erol.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-14379-8
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200434446
_d52658
942 _2lcc
_cEBK
041 _aeng