Skip to main content
Cross Validated

Return to Question

style, new tag
Source Link
Piotr Migdal
Piotr Migdal
  • 5.9k
  • 3
  • 34
  • 72

I'm trying to build a recommendation system, but I only have data on what my users have "liked", i.e. all non-missing data has the same numeric value. Is

Is it possible for me to use matrix factorization methods without actually having "ratings"? (multipleMultiple numeric values for user ratings rather than just an indicator that a user has "liked" the item?.) If so, how?

I'm trying to build a recommendation system, but I only have data on what my users have "liked", i.e. all non-missing data has the same numeric value. Is it possible for me to use matrix factorization methods without actually having "ratings"? (multiple numeric values for user ratings rather than just an indicator that a user has "liked" the item?) If so, how?

I'm trying to build a recommendation system, but I only have data on what my users have "liked", i.e. all non-missing data has the same numeric value.

Is it possible for me to use matrix factorization methods without actually having "ratings"? (Multiple numeric values for user ratings rather than just an indicator that a user has "liked" the item.) If so, how?

Improved grammar and wording.
Source Link
Aleksandr Blekh
Aleksandr Blekh
  • 8.7k
  • 2
  • 36
  • 99

Matrix Factorization Recommendation Systems with Only "Like Ratings""Like" Ratings

I'm trying to build a recommendation system, but I only have data on what my user'susers have "liked", i.e. all non-missing data has the same numeric value. Is it possible for me to usinguse matrix factorization methods without actually having "ratings"ratings"?" (multiple numeric values for user ratings rather than just an indicator that thea user has "liked" the item?) If so, how?

Matrix Factorization Recommendation Systems with Only "Like Ratings"

I'm trying to build a recommendation system, but I only have data on what my user's have "liked" i.e. all non-missing data has the same numeric value. Is it possible for me to using matrix factorization methods without actually having "ratings?" (multiple numeric values for user ratings rather than just an indicator that the user has "liked" the item?) If so, how?

Matrix Factorization Recommendation Systems with Only "Like" Ratings

I'm trying to build a recommendation system, but I only have data on what my users have "liked", i.e. all non-missing data has the same numeric value. Is it possible for me to use matrix factorization methods without actually having "ratings"? (multiple numeric values for user ratings rather than just an indicator that a user has "liked" the item?) If so, how?

Tweeted twitter.com/#!/StackStats/status/486654293941182464
Source Link
user49745
user49745
  • 71
  • 4

Matrix Factorization Recommendation Systems with Only "Like Ratings"

I'm trying to build a recommendation system, but I only have data on what my user's have "liked" i.e. all non-missing data has the same numeric value. Is it possible for me to using matrix factorization methods without actually having "ratings?" (multiple numeric values for user ratings rather than just an indicator that the user has "liked" the item?) If so, how?