With the steadily increasing amount of digital multimedia content, the user will be more and more overstrained. This applies to content being permanently available like videos of online video services as well as broadcast content like in the TV or radio domain. A promising solution for this problem is personalization. In the context of this paper, we refer to the selection and recommendation of content with respect to user's interests and preferences as personalization. These recommendations can either be presented to the user herself or be further used by services like a personalized electronic program guide (EPG) in the TV domain or for automated and personalized selection of content of online video services. This paper introduces an approach to personalize digital multimedia content based on user profile information. For this, two main mechanisms were developed: a profile generator that automatically creates user profiles representing the user preferences, and a content-based recommendation algorithm that estimates the user's interest in unknown content by matching her profile to metadata descriptions of the content. Both features are integrated into a personalization system.
Описание
A user profile-based personalization system for digital multimedia content
%0 Conference Paper
%1 WeiSchWen08
%A Weiß, Diana
%A Scheuerer, Johannes
%A Wenleder, Michael
%A Erk, Alexander
%A Gülbahar, Mark
%A Linnhoff-Popien, Claudia
%B DIMEA '08: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
%C New York, NY, USA
%D 2008
%I ACM
%K personalization recommender tv
%P 281--288
%R 10.1145/1413634.1413687
%T A user profile-based personalization system for digital multimedia content
%U http://portal.acm.org/citation.cfm?id=1413634.1413687&coll=Portal&dl=GUIDE&CFID=83469922&CFTOKEN=93475352
%X With the steadily increasing amount of digital multimedia content, the user will be more and more overstrained. This applies to content being permanently available like videos of online video services as well as broadcast content like in the TV or radio domain. A promising solution for this problem is personalization. In the context of this paper, we refer to the selection and recommendation of content with respect to user's interests and preferences as personalization. These recommendations can either be presented to the user herself or be further used by services like a personalized electronic program guide (EPG) in the TV domain or for automated and personalized selection of content of online video services. This paper introduces an approach to personalize digital multimedia content based on user profile information. For this, two main mechanisms were developed: a profile generator that automatically creates user profiles representing the user preferences, and a content-based recommendation algorithm that estimates the user's interest in unknown content by matching her profile to metadata descriptions of the content. Both features are integrated into a personalization system.
%@ 978-1-60558-248-1
@inproceedings{WeiSchWen08,
abstract = {With the steadily increasing amount of digital multimedia content, the user will be more and more overstrained. This applies to content being permanently available like videos of online video services as well as broadcast content like in the TV or radio domain. A promising solution for this problem is personalization. In the context of this paper, we refer to the selection and recommendation of content with respect to user's interests and preferences as personalization. These recommendations can either be presented to the user herself or be further used by services like a personalized electronic program guide (EPG) in the TV domain or for automated and personalized selection of content of online video services. This paper introduces an approach to personalize digital multimedia content based on user profile information. For this, two main mechanisms were developed: a profile generator that automatically creates user profiles representing the user preferences, and a content-based recommendation algorithm that estimates the user's interest in unknown content by matching her profile to metadata descriptions of the content. Both features are integrated into a personalization system.},
added-at = {2010-03-25T14:50:19.000+0100},
address = {New York, NY, USA},
author = {Wei\ss, Diana and Scheuerer, Johannes and Wenleder, Michael and Erk, Alexander and G\"{u}lbahar, Mark and Linnhoff-Popien, Claudia},
biburl = {https://www.bibsonomy.org/bibtex/2e3e0eb858f0f44c22e80bfd6ad63037b/datentaste},
booktitle = {DIMEA '08: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts},
description = {A user profile-based personalization system for digital multimedia content},
doi = {10.1145/1413634.1413687},
interhash = {908f782e854f7a80cfd6248fe36bb819},
intrahash = {e3e0eb858f0f44c22e80bfd6ad63037b},
isbn = {978-1-60558-248-1},
keywords = {personalization recommender tv},
location = {Athens, Greece},
pages = {281--288},
publisher = {ACM},
timestamp = {2010-03-25T14:50:19.000+0100},
title = {A user profile-based personalization system for digital multimedia content},
url = {http://portal.acm.org/citation.cfm?id=1413634.1413687&coll=Portal&dl=GUIDE&CFID=83469922&CFTOKEN=93475352},
year = 2008
}