Collaborative Filtering: Difference between revisions

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"'''Collaborative filtering'''


"'''Collaborative filtering''' (Wikipedia's definition: '''the method of making automatic predictions about the interests of a user by collecting taste information from many users''') has been around for a long time (in internet years, that is). Pioneering this space was Amazon.com's recommendation software, which could tell a customer that others who had also bought Rushdie's Midnight Children, appreciated The God of Small Things by Arundhati Roy, too. Amazon.com, which also boasts over 6 million product reviews, states that 'the click-through and conversion rates of recommendations based on collaborative filtering vastly exceed those of untargeted content such as banner advertisements and top-seller lists.'  Others have followed; collaborative filtering offerings at iTunes, MSN Music, RealPlayer MusicStore, Napster, TiVo (100 million ratings by users about approximately 30,000 TV shows and movies!), Rhapsody and Barnes & Noble have received plenty of attention."
=Definition=
 
(Wikipedia's definition:  
 
'''the method of making automatic predictions about the interests of a user by collecting taste information from many users''') has been around for a long time (in internet years, that is). Pioneering this space was Amazon.com's recommendation software, which could tell a customer that others who had also bought Rushdie's Midnight Children, appreciated The God of Small Things by Arundhati Roy, too. Amazon.com, which also boasts over 6 million product reviews, states that 'the click-through and conversion rates of recommendations based on collaborative filtering vastly exceed those of untargeted content such as banner advertisements and top-seller lists.'  Others have followed; collaborative filtering offerings at iTunes, MSN Music, RealPlayer MusicStore, Napster, TiVo (100 million ratings by users about approximately 30,000 TV shows and movies!), Rhapsody and Barnes & Noble have received plenty of attention."
(http://www.trendwatching.com/trends/TWINSUMER.htm)
(http://www.trendwatching.com/trends/TWINSUMER.htm)


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[[Category:Resources]]
[[Category:Resources]]
[[Category:IP]]
[[Category:Relational]]
[[Category:Media]]
[[Category:Music]]
[[Category:Sharing]]

Latest revision as of 05:03, 24 January 2011

"Collaborative filtering

Definition

(Wikipedia's definition:

the method of making automatic predictions about the interests of a user by collecting taste information from many users) has been around for a long time (in internet years, that is). Pioneering this space was Amazon.com's recommendation software, which could tell a customer that others who had also bought Rushdie's Midnight Children, appreciated The God of Small Things by Arundhati Roy, too. Amazon.com, which also boasts over 6 million product reviews, states that 'the click-through and conversion rates of recommendations based on collaborative filtering vastly exceed those of untargeted content such as banner advertisements and top-seller lists.' Others have followed; collaborative filtering offerings at iTunes, MSN Music, RealPlayer MusicStore, Napster, TiVo (100 million ratings by users about approximately 30,000 TV shows and movies!), Rhapsody and Barnes & Noble have received plenty of attention." (http://www.trendwatching.com/trends/TWINSUMER.htm)