Users across media
نویسندگان
چکیده
منابع مشابه
Media Audiences, Interpreters and Users
LSE has developed LSE Research Online so that users may access research output of the School. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LSE Research Online to facilitate their private study or for non-commercial research. You may not engage in furthe...
متن کاملIdentifying Users Across Social Tagging Systems
How much do tagging activities tell about a user? Is it possible to identify people in Delicious based on the tags, which they use in Flickr? In this paper we study those questions and investigate whether users can be identified across social tagging systems. We combine two kinds of information: their user ids and their tags. We introduce and compare a variety of approaches to measure the dista...
متن کاملGetting Your Message Across to Your Users
Most models, theories and perspectives in human-computer interaction focus on users communicating with systems. The very name of our discipline illustrates how pervasive is the idea that users and systems are the only relevant parties involved in the process we want to design or investigate. For over a decade, the Semiotic Engineering Research Group (SERG) has elaborated an alternative account ...
متن کاملIdentifying Users across Multiple Online Social Networks
An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection network. She largely governs her identity formulation on any social network and therefore can manipulate multiple aspects of it. With no global identifier to mark her presence ...
متن کاملAnalyzing Recommender System's Performance Fluctuations across Users
Recommender systems (RS) are designed to assist users by recommending them items they should appreciate. User based RS exploit users behavior to generate recommendations. As a matter of fact, RS performance fluctuates across users. We are interested in analyzing the characteristics and behavior that make a user receives more accurate/inaccurate recommendations than another. We use a hybrid mode...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Convergence: The International Journal of Research into New Media Technologies
سال: 2017
ISSN: 1354-8565,1748-7382
DOI: 10.1177/1354856517700555