An Intelligent System of the Content Relevance at the Example of Films According to User Needs.
Vasyl LytvynAleksandr GozhyjIrina KalininaVictoria VysotskaViktor ShatskykhLyubomyr ChyrunYuriy BorzovPublished in: ICTES (2019)
Keyphrases
- relevant content
- relevance feedback
- user experience
- user interface
- user interaction
- targeted advertising
- web content
- user interests
- multimedia
- information retrieval
- end users
- user defined
- semantic tags
- user feedback
- user activity
- user context
- conducted a user study
- media content
- helping users
- content providers
- user satisfaction
- test collection
- recommender systems