Showing posts with label recommendation systems. Show all posts
Showing posts with label recommendation systems. Show all posts

Thursday, August 4, 2011

Recommendation Systems

The Recommendation Systems (RS) has been termed as the next step
in the evolution of Artificial Intelligence + search systems on the web ,
together being termed as intelligent search systems
that enable a user to search a query on a website conveniently and flexibly ,
without thinking too hard.

Sometimes RS being the "best friend" advisor in case of high indecisiveness .
( P.S. sure to take it when you go shopping next time ? )



It also evolves the "feel" organ of computer ,
  • dynamically i.e. via real time algorithms OR
  • via database support systems that work on analyzing pre-stored information regarding the user's search patterns and preferences.

Based on social networking and surfing concepts of
  • rating an item or user OR
  • following a "friend" or member OR
  • recommendations based on the user's previous search and selections OR
  • choices based on interests OR
  • popular general vote OR
  • comments/feedback of friends/other users


Also includes the "convolution" of different features
combined in a complimentary way such as
to develop a feasible user search algorithm depending upon the requirements .


Classified by the types :
  • search based ,
  • cateogary based ,
  • info filtering ,
  • classifiers ,
  • clusters ,
  • collaborative filtering and many others ,

being used extensively on the World Wide Web .

More to follow up on RS soon ... happy reading!