Enhancing the accuracy of ratings predictions of video recommender system by segments of interest.
Alessandro da Silveira DiasLeandro Krug WivesValter RoeslerPublished in: WebMedia (2013)
Keyphrases
- recommender systems
- collaborative filtering
- user ratings
- collaborative filtering algorithms
- recommendation algorithms
- prediction accuracy
- user preferences
- high accuracy
- video data
- real time
- cold start problem
- temporal information
- computational cost
- multimedia
- line segments
- recommendation quality
- video sequences
- digital video
- product recommendation
- matrix factorization
- implicit feedback
- video segments
- information filtering
- video analysis
- classification accuracy
- video content
- event detection
- video streams
- action recognition
- space time
- collaborative filtering recommender systems
- personalized recommendation
- information overload
- error rate
- image sequences
- feature selection