I'm already interested in recommendation systems when I started to use the website like Taobao, Weibo,Facebook,LinkedIn,Amazon...These popular websites adopt different method to realize recommendations.
Amazon uses recommendation systems to recommend new products to users.It wants to show us with products that we will be interested in seeing.Amazon's method of recommendation is kind of complex,but it is centered around the products a user views and purchases.They utilize a system known as item-to-item collaboration filtering.
Youtube utilizes recommendation systems to bring videos to us that we will be interested in. They are designed to increase the numbers of videos we will watch, increase the length of time we spend on the site, and maximize the enjoyment of our Youtube experience.When I watch the video on YouTube, I can't stop opening the next one in the recommendation list.
Amazon's Recommendations
Amazon uses recommendation systems to recommend new products to users.It wants to show us with products that we will be interested in seeing.Amazon's method of recommendation is kind of complex,but it is centered around the products a user views and purchases.They utilize a system known as item-to-item collaboration filtering.
Amazon's Item-to-Item Collaborative Filtering focuses on the items rather than the users. It does not try to match the user to similar customers. Instead, it matches each of the user's purchased and rated items to similar items, and then it merges the similar items among them into one recommendation list unique to the user.
YouTube's Recommendations
Youtube utilizes recommendation systems to bring videos to us that we will be interested in. They are designed to increase the numbers of videos we will watch, increase the length of time we spend on the site, and maximize the enjoyment of our Youtube experience.When I watch the video on YouTube, I can't stop opening the next one in the recommendation list.
In order to obtain personalized recommendations, Youtube's recommendation system combines the related videos association rules with the user's personal activity on the site. This includes several factors. There are the videos that were watched - along with a certain threshold, say by a certain date. After all, you don't want to count videos watched from 2 years ago if the user has watched enough videos, most likely. Also, Youtube factors in with emphasis any videos that were explicitly "liked", added to favorites, given a rating, added to a playlist. The union of these videos is known as the seed set.