Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Personalization and Context Management
User Modeling and User-Adapted Interaction
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
A new approach to evaluating novel recommendations
Proceedings of the 2008 ACM conference on Recommender systems
TV3P: an adaptive assistant for personalized TV
IEEE Transactions on Consumer Electronics
A personalized TV guide system compliant with MHP
IEEE Transactions on Consumer Electronics
Context information exchange and sharing in a peer-to-peer community: a video annotation scenario
Proceedings of the 27th ACM international conference on Design of communication
Time-evolution of IPTV recommender systems
Proceedings of the 8th international interactive conference on Interactive TV&Video
Evaluating a recommendation application for online video content: an interdisciplinary study
Proceedings of the 8th international interactive conference on Interactive TV&Video
Taking advantage of contextualized interactions while users watch TV
Multimedia Tools and Applications
Identifying and utilizing contextual data in hybrid recommender systems
Proceedings of the fourth ACM conference on Recommender systems
QoE measurement of mobile YouTube video streaming
Proceedings of the 3rd workshop on Mobile video delivery
Users' (Dis)satisfaction with the personalTV application: Combining objective and subjective data
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Investigating the influence of QoS on personal evaluation behaviour in a mobile context
Multimedia Tools and Applications
An application-level content generative model for network applications
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Image context discovery from socially curated contents
Proceedings of the 21st ACM international conference on Multimedia
Smart Content Selection for Public Displays in Ambient Intelligence Environments
International Journal of Ambient Computing and Intelligence
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The enormous offer of video content on the internet and its continuous growth make the selection process increasingly difficult for end-users. This overabundance of audio-visual material can be handled by a recommendation system that observes user preferences and assists people with finding interesting content. However, present-day recommendation systems focus on the metadata or the previous consumption behaviour to select the content but do not consider contextual information or social network relations. Therefore, we developed a tag cloud based recommendation system for user-generated content which exploits these social network relations. Recommendations based on the user's profile are supplemented with social recommendations: content suggestions from people on the user's contact list. Moreover, since we believe that the consumption context (location, time, etc.) has a significant influence on the content selection process, the system records all the available context information. Our next task is to analyze the obtained dataset and to determine the influence of the individual context features on the consumption behaviour. The system recommendations and social recommendations will be compared on the basis of effectiveness, novelty and user appreciation. Finally, we intend to incorporate the results of this analysis in our personalization algorithm in order to improve the recommendation results.