征稿范围
We invite both long papers (up to 8 pages) that present original mature research and short papers (up to 4 pages or 20 slides) that describe early/promising research, demos or industrial case studies focusing on (but are not limited to):
Context-aware TV and online video recommendations
Leveraging contextual viewing behaviour, e.g. device specific recommendations
Mood based recommendations
Group recommendations
User modeling & leveraging user viewing and interaction behavior
How can social media improve TV recommendations
Cross-domain recommendation algorithms (linear TV, video on demand, DVR, gaming consoles)
Multi-viewer profile separation
Evaluation metrics for TV and online video recommendation
Content-based TV and online video recommendations
Analysis techniques for video recommendations based on video, audio, or closed caption signals
Utilization of external data sources (movie reviews, ratings, plot summaries) for recommendations
Other topics related to TV and online video recommendations
Video playlisting
Linear TV usage and box office success prediction
Personalized advertisement recommendations
Recommendations of 2nd screen web content
Recommendations of short form videos (previews, trailers, music videos)
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