Online video recommendation based on multimodal fusion and relevance feedback
Proceedings of the 6th ACM international conference on Image and video retrieval
Learning to link with wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
Understanding near-duplicate videos: a user-centric approach
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Data mining for web personalization
The adaptive web
Social media recommendation based on people and tags
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
The YouTube video recommendation system
Proceedings of the fourth ACM conference on Recommender systems
The impact of YouTube recommendation system on video views
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Online Video Recommendation through Tag-Cloud Aggregation
IEEE MultiMedia
Contextual Video Recommendation by Multimodal Relevance and User Feedback
ACM Transactions on Information Systems (TOIS)
Like like alike: joint friendship and interest propagation in social networks
Proceedings of the 20th international conference on World wide web
Generating predictive movie recommendations from trust in social networks
iTrust'06 Proceedings of the 4th international conference on Trust Management
A social network for video annotation and discovery based on semantic profiling
Proceedings of the 21st international conference companion on World Wide Web
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The recent explosive growth in the use of social networks has raised the question of how to meet the emerging demand for services that address the interests of the users. In this paper we show how considering homophily in social networks can improve video recommendation, using inferred user profiles and modeling users' interests. We propose a socially-aware framework for video commenting, sharing and interest discovery that combines recommendation algorithms, clustering techniques, tools for video tagging and evaluation of tag semantic relatedness. The system allows to connect to friends, curate a personal profile and get video recommendations through a social network.