This paper describes our system that enables members of a social network to collaboratively annotate a shared media collection. The problem is important since online social networks are emerging as conduits for exchange of everyday experiences. Our collaborative annotation system provides personalized recommendations to each user, based on (a) media features, (b) context, (c) commonsensical relationships and (d) linguistic relationships. We also develop novel concept specificity and abstractness/concreteness measures that further adapt the recommendations to the specific concept. Our preliminary user studies indicate that the system performs well and is more useful as compared to standard Web browser recommendation schemes
Description
Welcome to IEEE Xplore 2.0: A Collaborative Annotation Framework
%0 Conference Paper
%1 Shevade:2005
%A Shevade, B.
%A Sundaram, H.
%B Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
%D 2005
%K annotation collaborative imported proj:bk proj:gtf web
%P 1346-1349
%R 10.1109/ICME.2005.1521679
%T A Collaborative Annotation Framework
%U http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1521679
%X This paper describes our system that enables members of a social network to collaboratively annotate a shared media collection. The problem is important since online social networks are emerging as conduits for exchange of everyday experiences. Our collaborative annotation system provides personalized recommendations to each user, based on (a) media features, (b) context, (c) commonsensical relationships and (d) linguistic relationships. We also develop novel concept specificity and abstractness/concreteness measures that further adapt the recommendations to the specific concept. Our preliminary user studies indicate that the system performs well and is more useful as compared to standard Web browser recommendation schemes
%@ 0-7803-9331-7
@inproceedings{Shevade:2005,
abstract = {This paper describes our system that enables members of a social network to collaboratively annotate a shared media collection. The problem is important since online social networks are emerging as conduits for exchange of everyday experiences. Our collaborative annotation system provides personalized recommendations to each user, based on (a) media features, (b) context, (c) commonsensical relationships and (d) linguistic relationships. We also develop novel concept specificity and abstractness/concreteness measures that further adapt the recommendations to the specific concept. Our preliminary user studies indicate that the system performs well and is more useful as compared to standard Web browser recommendation schemes},
added-at = {2007-11-04T09:32:36.000+0100},
author = {Shevade, B. and Sundaram, H.},
biburl = {https://www.bibsonomy.org/bibtex/27fdfd54861d35cf87a7491b9a15083d1/wnpxrz},
booktitle = {Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on},
description = {Welcome to IEEE Xplore 2.0: A Collaborative Annotation Framework},
doi = {10.1109/ICME.2005.1521679},
interhash = {8243c57c459849bf3c3c4cd6c349388f},
intrahash = {7fdfd54861d35cf87a7491b9a15083d1},
isbn = {0-7803-9331-7},
keywords = {annotation collaborative imported proj:bk proj:gtf web},
pages = {1346-1349},
timestamp = {2007-11-04T09:32:36.000+0100},
title = {A Collaborative Annotation Framework},
url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1521679},
year = 2005
}