DocumentCode :
610417
Title :
Twitter+: Build personalized newspaper for Twitter
Author :
Chen Liu ; Tung, A.K.H.
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2013
fDate :
8-12 April 2013
Firstpage :
1272
Lastpage :
1275
Abstract :
Nowadays, microblogging services, e.g., Twitter, have played important roles in people´s everyday lives. It enables users to publish and read text-based posts, known as “tweets” and interact with each other through re-tweeting or commenting. In the literature, many efforts have been devoted on exploiting the social property of Twitter. However, except the social component, Twitter itself has become an indispensable source for users to acquire useful information. To maximize its value, we expect to pay more attention on the media property of Twitter. To be good media, the first requirement is that it should provide an effective presentation of its news so that users are facilitated of reading. Currently, all tweets from followings are presented to the users and usually organized by their published timelines or coming sources. However, too few dimensions of presenting tweets hinder users from finding their interested information conveniently. In this demo, we presents “Twitter+”, which aims to enrich user´s reading experiences in Twitter by providing multiple ways for them to explore tweets, such as keyword presentation, topic finding. It presents users an alternative interface to browse tweets more effectively.
Keywords :
social aspects of automation; social networking (online); Twitter+; keyword presentation; media property; microblogging services; personalized newspaper; published timelines; retweeting; social property; text-based posts; topic finding; user reading experiences; Electronic publishing; Encyclopedias; Internet; Kernel; Media; Twitter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2013 IEEE 29th International Conference on
Conference_Location :
Brisbane, QLD
ISSN :
1063-6382
Print_ISBN :
978-1-4673-4909-3
Electronic_ISBN :
1063-6382
Type :
conf
DOI :
10.1109/ICDE.2013.6544922
Filename :
6544922
Link To Document :
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