Aspects ■ Recommendation instead of “word-of-mouth” ■ Personalization as users have different preferences and goals ■ Content discovery Help users to find good or useful things without specifically searching for them
Aspects ■ Recommendation instead of “word-of-mouth” ■ Personalization as users have different preferences and goals ■ Content discovery Help users to find good or useful things without specifically searching for them ■ Fighting choice overload Choosing from many alternatives is not an easy task... Don’t let your users give up!
“YouTube Comes To A 5-Star Realization: Its Ratings Are Useless” 1 2 3 4 5 http://techcrunch.com/2009/09/22/youtube-comes-to-a-5-star-realization-its-ratings-are-useless/
Events ■ 1-5 star rating implicit feedback each user would rate only a very small portion of all items ■ View page. ■ Read article for 1-5 minutes. ■ Come back to page. ■ Put to cart. ■ Buy.
Indi Young http://www.flickr.com/photos/indiyoung/7889928594 I spent like 40 minutes rating movies for Netflix a while ago. When I asked for suggestions, I got this message. Wow, it made my heart drop. I invested all that time, and my preferences were not something Netflix seemed to care about.
Don’t let it slow down your system! system performance response time (milliseconds) Will it handle millions of recommendation request? Do you have a fallback solution?