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A user profile-based personalization system for digital multimedia content

Authors:

Claudia Linnhoff-PopienAuthors Info & Claims

DIMEA '08: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts

Pages 281 - 288

https://doi.org/10.1145/1413634.1413687

Published: 10 September 2008 Publication History

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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.

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Cited By

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Roy DChowdhury RNasser AAzmi ABabaeianjelodar M(2023)Item recommendation using user feedback data and item profile8TH BRUNEI INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY 202110.1063/5.0111349(040008)Online publication date: 2023
https://doi.org/10.1063/5.0111349
Tan XGuo YOrgun MXue LChen Y(2018)An Engagement Model Based on User Interest and QoS in Video Streaming SystemsWireless Communications and Mobile Computing10.1155/2018/13989582018(1-11)Online publication date: 23-Sep-2018
https://doi.org/10.1155/2018/1398958
Yaman ÇÇiçekli N(2012)A Content Recommendation Framework Using Ontological User ProfilesComputer and Information Sciences III10.1007/978-1-4471-4594-3_39(381-389)Online publication date: 30-Oct-2012
https://doi.org/10.1007/978-1-4471-4594-3_39
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Index Terms

A user profile-based personalization system for digital multimedia content
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
    2. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction
  2. Information systems applications
    1. Multimedia information systems

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Published In

DIMEA '08: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts

September 2008

551 pages

ISBN:9781605582481

DOI:10.1145/1413634

Conference Chairs:
Sofia Tsekeridou
Athens Information Technology, Greece
,
Adrian David Cheok
ACM SIG CHI, Singapore Chapter and NUS, Singapore
,
Konstantinos Giannakis
InExDe, Greece
,
John Karigiannis
InExDe, Greece

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2008

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SIGCHI

DIMEA '08: Third International Conference on Digital Interactive Media in Entertainment and Arts

September 10 - 12, 2008

Athens, Greece

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DIMEA '08 Paper Acceptance Rate 59 of 77 submissions, 77%;

Overall Acceptance Rate 59 of 77 submissions, 77%

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Roy DChowdhury RNasser AAzmi ABabaeianjelodar M(2023)Item recommendation using user feedback data and item profile8TH BRUNEI INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY 202110.1063/5.0111349(040008)Online publication date: 2023
https://doi.org/10.1063/5.0111349
Tan XGuo YOrgun MXue LChen Y(2018)An Engagement Model Based on User Interest and QoS in Video Streaming SystemsWireless Communications and Mobile Computing10.1155/2018/13989582018(1-11)Online publication date: 23-Sep-2018
https://doi.org/10.1155/2018/1398958
Yaman ÇÇiçekli N(2012)A Content Recommendation Framework Using Ontological User ProfilesComputer and Information Sciences III10.1007/978-1-4471-4594-3_39(381-389)Online publication date: 30-Oct-2012
https://doi.org/10.1007/978-1-4471-4594-3_39
Lecue F(2011)Towards Semantics-Based Instantiation of ServicesProceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2011.211(396-403)Online publication date: 22-Aug-2011
https://dl.acm.org/doi/10.1109/WI-IAT.2011.211
Zhu CMa MTan CChang GZhu JAn Q(2010)A recommender handoff framework for a mobile deviceMobile Multimedia Processing10.5555/2172352.2172363(137-153)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.5555/2172352.2172363
Hölbling GPleschgatternig MKosch H(2010)PersonalTVMultimedia Tools and Applications10.1007/s11042-009-0352-246:2-3(259-288)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1007/s11042-009-0352-2
Zhu CMa MTan CChang GZhu JAn Q(2010)A Recommender Handoff Framework for a Mobile DeviceMobile Multimedia Processing10.1007/978-3-642-12349-8_8(137-153)Online publication date: 2010
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Guldogan EGabbouj M(2009)System profiles in content-based image indexing and retrievalSignal, Image and Video Processing10.1007/s11760-009-0137-04:4(463-480)Online publication date: 6-Oct-2009
https://doi.org/10.1007/s11760-009-0137-0

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Generating Items Recommendations by Fusing Content and User-Item based Collaborative Filtering

Improving Similarity Measurement of User's Rating Value using Sigmoid Function in Personalization System

Generating semantically enriched user profiles for Web personalization

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