RMSE in Recommender system [closed]2019 Community Moderator ElectionItem based recommender using SVDDeep Learning for Recommender SystemTaxonomy of recommender system methodologiesWhich recommender system approach allows for inclusion of user profile?Recommender System: how to treat different eventsRecommender system based on binary likes/disklikes?distinguish users for recommender systemAdvantages of Binary Rating System for Collaborative Filtering Recommender SystemsRecommender system for next career stepClassification model for recommender system?
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RMSE in Recommender system [closed]
2019 Community Moderator ElectionItem based recommender using SVDDeep Learning for Recommender SystemTaxonomy of recommender system methodologiesWhich recommender system approach allows for inclusion of user profile?Recommender System: how to treat different eventsRecommender system based on binary likes/disklikes?distinguish users for recommender systemAdvantages of Binary Rating System for Collaborative Filtering Recommender SystemsRecommender system for next career stepClassification model for recommender system?
$begingroup$
I'm working on 5-fold cross validation for recommender system (e.g. soft-impute) in R, and I found that predicted or imputed matrix (with syntax 'complete') of really observed data are the same as predicted one and so RMSE is always zero. I know how cross validation works in linear regression model but I have no idea of how it works in recommender system. I expected predicted value of observed data are somewhat different from real ones but it seems not..
Can anyone let me know that point that I'm stucked in? Thanks!
recommender-system
asked Mar 27 at 15:34
user70323user70323
11
$endgroup$
closed as unclear what you're asking by Ethan, oW_, Mark.F, Siong Thye Goh, Dawny33♦ Mar 28 at 16:06
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
$begingroup$
I'm working on 5-fold cross validation for recommender system (e.g. soft-impute) in R, and I found that predicted or imputed matrix (with syntax 'complete') of really observed data are the same as predicted one and so RMSE is always zero. I know how cross validation works in linear regression model but I have no idea of how it works in recommender system. I expected predicted value of observed data are somewhat different from real ones but it seems not..
Can anyone let me know that point that I'm stucked in? Thanks!
recommender-system
asked Mar 27 at 15:34
user70323user70323
11
$endgroup$
closed as unclear what you're asking by Ethan, oW_, Mark.F, Siong Thye Goh, Dawny33♦ Mar 28 at 16:06
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
$begingroup$
I'm working on 5-fold cross validation for recommender system (e.g. soft-impute) in R, and I found that predicted or imputed matrix (with syntax 'complete') of really observed data are the same as predicted one and so RMSE is always zero. I know how cross validation works in linear regression model but I have no idea of how it works in recommender system. I expected predicted value of observed data are somewhat different from real ones but it seems not..
Can anyone let me know that point that I'm stucked in? Thanks!
recommender-system
asked Mar 27 at 15:34
user70323user70323
11
$endgroup$
I'm working on 5-fold cross validation for recommender system (e.g. soft-impute) in R, and I found that predicted or imputed matrix (with syntax 'complete') of really observed data are the same as predicted one and so RMSE is always zero. I know how cross validation works in linear regression model but I have no idea of how it works in recommender system. I expected predicted value of observed data are somewhat different from real ones but it seems not..
Can anyone let me know that point that I'm stucked in? Thanks!
recommender-system
recommender-system
asked Mar 27 at 15:34
user70323user70323
11
asked Mar 27 at 15:34
user70323user70323
11
asked Mar 27 at 15:34
user70323user70323
11
asked Mar 27 at 15:34
user70323user70323
11
asked Mar 27 at 15:34
user70323user70323
11
11
closed as unclear what you're asking by Ethan, oW_, Mark.F, Siong Thye Goh, Dawny33♦ Mar 28 at 16:06
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
closed as unclear what you're asking by Ethan, oW_, Mark.F, Siong Thye Goh, Dawny33♦ Mar 28 at 16:06
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
add a comment |
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