ºÝºÝߣshows by User: edaehn / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: edaehn / Sun, 25 Jan 2015 17:45:30 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: edaehn Cultural and Aspects of Communication Geolocation in Twitter /slideshow/ase2014-43882682/43882682 ase2014-150125174530-conversion-gate02
Presented at The Third ASE Social Informatics conference at Harvard University. Abstract: Web applications exploit user information from social networks and online user activities to facilitate interaction and create an enhanced user experience. Due to privacy issues however, it might be difficult to extract user data from social network, in particular location data. For instance, information on user location depends on users’ agreement to share own geographic data. Instead of directly collecting personal user information, we aim to infer user preferences by detecting behavior patterns from publicly available micro blogging content and users’ followers’ network. With statistical and machine-learning methods, we employ Twitter-specific features to predict country origin of users on Twitter with an accuracy of more than 90% for users from the most active countries. We further investigate users’ interpersonal communication with their followers. Our findings reveal that belonging to a particular cultural group is playing an important role in increasing users responses to their friends. The knowledge on user cultural origins thus could provide a differentiated state-of-the-art user experience in microblogs, for instance, in friend recommendation scenario.]]>
Presented at The Third ASE Social Informatics conference at Harvard University. Abstract: Web applications exploit user information from social networks and online user activities to facilitate interaction and create an enhanced user experience. Due to privacy issues however, it might be difficult to extract user data from social network, in particular location data. For instance, information on user location depends on users’ agreement to share own geographic data. Instead of directly collecting personal user information, we aim to infer user preferences by detecting behavior patterns from publicly available micro blogging content and users’ followers’ network. With statistical and machine-learning methods, we employ Twitter-specific features to predict country origin of users on Twitter with an accuracy of more than 90% for users from the most active countries. We further investigate users’ interpersonal communication with their followers. Our findings reveal that belonging to a particular cultural group is playing an important role in increasing users responses to their friends. The knowledge on user cultural origins thus could provide a differentiated state-of-the-art user experience in microblogs, for instance, in friend recommendation scenario.]]> Sun, 25 Jan 2015 17:45:30 GMT /slideshow/ase2014-43882682/43882682 edaehn@slideshare.net(edaehn) Cultural and Aspects of Communication Geolocation in Twitter edaehn Presented at The Third ASE Social Informatics conference at Harvard University. Abstract: Web applications exploit user information from social networks and online user activities to facilitate interaction and create an enhanced user experience. Due to privacy issues however, it might be difficult to extract user data from social network, in particular location data. For instance, information on user location depends on users’ agreement to share own geographic data. Instead of directly collecting personal user information, we aim to infer user preferences by detecting behavior patterns from publicly available micro blogging content and users’ followers’ network. With statistical and machine-learning methods, we employ Twitter-specific features to predict country origin of users on Twitter with an accuracy of more than 90% for users from the most active countries. We further investigate users’ interpersonal communication with their followers. Our findings reveal that belonging to a particular cultural group is playing an important role in increasing users responses to their friends. The knowledge on user cultural origins thus could provide a differentiated state-of-the-art user experience in microblogs, for instance, in friend recommendation scenario. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ase2014-150125174530-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at The Third ASE Social Informatics conference at Harvard University. Abstract: Web applications exploit user information from social networks and online user activities to facilitate interaction and create an enhanced user experience. Due to privacy issues however, it might be difficult to extract user data from social network, in particular location data. For instance, information on user location depends on users’ agreement to share own geographic data. Instead of directly collecting personal user information, we aim to infer user preferences by detecting behavior patterns from publicly available micro blogging content and users’ followers’ network. With statistical and machine-learning methods, we employ Twitter-specific features to predict country origin of users on Twitter with an accuracy of more than 90% for users from the most active countries. We further investigate users’ interpersonal communication with their followers. Our findings reveal that belonging to a particular cultural group is playing an important role in increasing users responses to their friends. The knowledge on user cultural origins thus could provide a differentiated state-of-the-art user experience in microblogs, for instance, in friend recommendation scenario.
Cultural and Aspects of Communication Geolocation in Twitter from Elena Daehnhardt
]]> 1084 3 https://cdn.slidesharecdn.com/ss_thumbnails/ase2014-150125174530-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A User Modeling Oriented Analysis of Cultural Backgrounds in Microblogging /slideshow/a-user-modeling-oriented-analysis-of-cultural-backgrounds-in-microblogging/15736374 socinfo2012-121222115813-phpapp02
This is my article on culture oriented user modeling presented at the ASE International Conference on Social Informatics in Washington D.C. US on 14 December 2012. This work received the Best Paper Award.]]>
This is my article on culture oriented user modeling presented at the ASE International Conference on Social Informatics in Washington D.C. US on 14 December 2012. This work received the Best Paper Award.]]> Sat, 22 Dec 2012 11:58:13 GMT /slideshow/a-user-modeling-oriented-analysis-of-cultural-backgrounds-in-microblogging/15736374 edaehn@slideshare.net(edaehn) A User Modeling Oriented Analysis of Cultural Backgrounds in Microblogging edaehn This is my article on culture oriented user modeling presented at the ASE International Conference on Social Informatics in Washington D.C. US on 14 December 2012. This work received the Best Paper Award. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/socinfo2012-121222115813-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is my article on culture oriented user modeling presented at the ASE International Conference on Social Informatics in Washington D.C. US on 14 December 2012. This work received the Best Paper Award.
A User Modeling Oriented Analysis of Cultural Backgrounds in Microblogging from Elena Daehnhardt
]]> 1265 7 https://cdn.slidesharecdn.com/ss_thumbnails/socinfo2012-121222115813-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-edaehn-48x48.jpg?cb=1523588582 https://cdn.slidesharecdn.com/ss_thumbnails/ase2014-150125174530-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ase2014-43882682/43882682 Cultural and Aspects ... https://cdn.slidesharecdn.com/ss_thumbnails/socinfo2012-121222115813-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-user-modeling-oriented-analysis-of-cultural-backgrounds-in-microblogging/15736374 A User Modeling Orient...