Comp Sci Cold Start & Early Rater: Making Predictions with Limited Data

  • Thread starter Thread starter shivajikobardan
  • Start date Start date
  • Tags Tags
    Cold Data
AI Thread Summary
The cold start problem in collaborative filtering refers to the system's need for a significant amount of existing user data to make accurate predictions. In contrast, the early rater problem involves a new user who has not rated many items, limiting the system's ability to generate personalized recommendations. While both concepts deal with insufficient data, they are distinct; cold start indicates a lack of data from all users, whereas early rater signifies limited data from a specific new user. The early rater can leverage existing ratings from other users, while the cold start scenario cannot. Understanding these differences is crucial for developing effective recommendation systems.
shivajikobardan
Messages
637
Reaction score
54
Homework Statement
what is difference between cold start vs early rater problem in collaborative filtering-recommender system?
Relevant Equations
none
cold start-: system requires huge amt of current user data to make accurate predictions

early rater-: new user hasn't rated many items to make predictions.

both same? isn't it?
 
Physics news on Phys.org
shivajikobardan said:
Homework Statement:: what is difference between cold start vs early rater problem in collaborative filtering-recommender system?
Relevant Equations:: none

cold start-: system requires huge amt of current user data to make accurate predictions

early rater-: new user hasn't rated many items to make predictions.

both same? isn't it?
I'm not familiar with these terms at all, but having said that, they seem very different to me.
My take:
cold start-: system requires huge amt of current user data to make accurate predictions
early rater-: very little existing user data (paraphrase)
 
I am also unfamiliar with this subject, but I might suggest this difference just from the brief descriptions given.
It sounds like a cold start would have no data from anyone, whereas the early rater may have a lot of data from other users but little data from the new user. So the early rater might start from the initial rating of the other users and adjust that as the new user enters ratings. The cold start can not do that.
 
  • Informative
Likes shivajikobardan
Mark44 said:
I'm not familiar with these terms at all, but having said that, they seem very different to me.
My take:
cold start-: system requires huge amt of current user data to make accurate predictions
early rater-: very little existing user data (paraphrase)
thanks
 
FactChecker said:
I am also unfamiliar with this subject, but I might suggest this difference just from the brief descriptions given.
It sounds like a cold start would have no data from anyone, whereas the early rater may have a lot of data from other users but little data from the new user. So the early rater might start from the initial rating of the other users and adjust that as the new user enters ratings. The cold start can not do that.
thank you
 

Similar threads

Replies
10
Views
3K
Replies
2
Views
4K
Replies
3
Views
2K
Replies
7
Views
10K
Replies
11
Views
12K
Replies
19
Views
6K
Replies
4
Views
3K
Back
Top