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.
Description
Adaptive Identification of Hashtags for Real-Time Event Data Collection - Springer
%0 Generic
%1 ulusoy2015recommendation
%A Ulusoy, Ozgur
%A Tansel, Abdullah Uz
%A Arkun, Erol
%D 2015
%K adaptiveCrawler focusedCrawler streaming twitter
%T Recommendation and search in social networks
%U http://link.springer.com/chapter/10.1007/978-3-319-14379-8_1
%X 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.
%@ 9783319143798 3319143794 3319143786 9783319143781
@electronic{ulusoy2015recommendation,
abstract = {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.},
added-at = {2016-05-20T13:32:56.000+0200},
author = {Ulusoy, Ozgur and Tansel, Abdullah Uz and Arkun, Erol},
biburl = {https://www.bibsonomy.org/bibtex/2f881871711d159e5925e2a41e260e10c/asmelash},
description = {Adaptive Identification of Hashtags for Real-Time Event Data Collection - Springer},
interhash = {1f9f4c7de2c15f509c0aec3a11e266e3},
intrahash = {f881871711d159e5925e2a41e260e10c},
isbn = {9783319143798 3319143794 3319143786 9783319143781},
keywords = {adaptiveCrawler focusedCrawler streaming twitter},
refid = {903489044},
timestamp = {2016-05-20T13:32:56.000+0200},
title = {Recommendation and search in social networks},
url = {http://link.springer.com/chapter/10.1007/978-3-319-14379-8_1},
year = 2015
}