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Collaborative Filtering. Presented By: Sadaf Baloch MS(SE). Introduction. Collaborative filtering is a method of : making automatic predictions /recommendations about the interests of a user by collecting taste information from many users The main idea is:

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collaborative filtering

Collaborative Filtering

Presented By:

Sadaf Baloch

MS(SE)

introduction
Introduction
  • Collaborative filtering is a method of :
    • making automatic predictions /recommendations about the interests of a user by collecting taste information from many users
  • The main idea is:
    • To automate the process of "word-of-mouth" by which people recommend products or services to one another.
why collaborative filtering
Why Collaborative filtering?
  • If you need to choose between a variety of options with which you do not have any experience, you will often rely on the opinions of others who do have such experience.
  • Instead of asking opinions to each individual, you might try to determine an average opinion for the group.
  • However, ignores your particular interests, which may be different from those of the average person.
who those many users are
Who those “many users” are?
  • Who share the same rating patterns with the active user.
  • These ratings can be used to calculate prediction for the active user.
mechanism
Mechanism
  • A large group of people\'s preferences are taken in account
  • A subgroup of people is selected whose preferences are similar to the preferences of the person who seeks advice
  • Average of the preferences for that subgroup is calculated
  • The resulting preference function is used to recommend options on which the advice-seeker has expressed no personal opinion as yet.
bottleneck
Bottleneck
  • Collection of Preferences
    • To be reliable, the system needs a very large number of people to express their preferences about a relatively large number of options .
  • This requires quite a lot of effort from a lot of people. Since the system only becomes useful after a "critical mass" of opinions has been collected.
  • People will not be very motivated to express detailed preferences in the beginning stages
references
References
  • http://pespmc1.vub.ac.be/collfilt.html
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