Ever wonder how sites determine what music and movies to recommend? Ever received an off-beat recommendation that made you go hmm….? That’s because most sites use collaborative filtering – which determines recommendations based on what other users like. This panel will discuss how these technologies are evolving and the future of recommendations.
Questions Answered:
What is collaborative filtering?
How does it work?
Which sites currently use collaborative filtering?
Do some sites giver better recommendations than others?
Are there alternative methods to collaborative filtering?
How do recommendation engines learn about what I like?
What happens when I visit a new site?
What other types of technology are available today?
What types of technology are currently in development?