Add to ORKGEveryday video-sharing websites such as YouTube collect large amounts of new multimedia resources. Comments left by viewers often provide valuable information to describe sentiments, opinions and tastes of users. For this reason, we propose a novel re-ranking approach that takes into consideration that information in order to provide better recommendations of related videos. Early experiments indicate an improvement in the recommendation performance
Understanding the growth pattern of content popularity has become a subject of immense interest to I...
The role of recommendation algorithms in online user confinement is at the heart of a fast-growing l...
We investigate two recommendation approaches suitable for online multimedia sharing services. Our fi...
Everyday video-sharing websites such as YouTube collect large amounts of new multimedia resources. C...
Vocolize is an application that allows users to record videos of themselves singing along to the ori...
A vast amount of social feedback expressed via ratings (i.e., likes and dislikes) and comments is av...
The explosive growth in sharing and consumption of the video content on the web creates a unique opp...
User-generated content is a growing source of valuable information and its analysis can lead to a be...
Youtube is the most video sharing and viewing platform in the world. As there are many people of dif...
26 pagesPeople’s online content choices should be driven by their intentions, but can be greatly aff...
Nowadays, a lot of people post various contents to the video sharing services. To find good contents...
With the continuous increase of internet usage in todays time, everyone is influenced by this source...
This paper gives a brief overview of various videos recommendation and Re-ranking techniques. It pre...
YouTube's "up next" feature algorithmically selects, suggests, and displays videos to watch after th...
YouTube’s “up next” feature algorithmically selects, suggests, and displays videos to watch after th...
Understanding the growth pattern of content popularity has become a subject of immense interest to I...
The role of recommendation algorithms in online user confinement is at the heart of a fast-growing l...
We investigate two recommendation approaches suitable for online multimedia sharing services. Our fi...
Everyday video-sharing websites such as YouTube collect large amounts of new multimedia resources. C...
Vocolize is an application that allows users to record videos of themselves singing along to the ori...
A vast amount of social feedback expressed via ratings (i.e., likes and dislikes) and comments is av...
The explosive growth in sharing and consumption of the video content on the web creates a unique opp...
User-generated content is a growing source of valuable information and its analysis can lead to a be...
Youtube is the most video sharing and viewing platform in the world. As there are many people of dif...
26 pagesPeople’s online content choices should be driven by their intentions, but can be greatly aff...
Nowadays, a lot of people post various contents to the video sharing services. To find good contents...
With the continuous increase of internet usage in todays time, everyone is influenced by this source...
This paper gives a brief overview of various videos recommendation and Re-ranking techniques. It pre...
YouTube's "up next" feature algorithmically selects, suggests, and displays videos to watch after th...
YouTube’s “up next” feature algorithmically selects, suggests, and displays videos to watch after th...
Understanding the growth pattern of content popularity has become a subject of immense interest to I...
The role of recommendation algorithms in online user confinement is at the heart of a fast-growing l...
We investigate two recommendation approaches suitable for online multimedia sharing services. Our fi...