Is there a Machine learning algorithm for recommendation which learns from feedback?
I am a beginner in the field of Data Science and i have a problem to solve which requires me to build a model that can suggest posts to users along with match percentage and users can reject the posts after looking at the description and give feedback on what was the issue and that should feedback needs to be used by my model to retrain it and recommend accordingly.
Is there any model that i can tweak and use for this purpose?
PS: I tried using back propagation neural network but it did not solve my problem.
machine-learning data-science recommendation-engine machine-learning-model
asked Nov 22 at 20:13
Jake
1
add a comment |
I am a beginner in the field of Data Science and i have a problem to solve which requires me to build a model that can suggest posts to users along with match percentage and users can reject the posts after looking at the description and give feedback on what was the issue and that should feedback needs to be used by my model to retrain it and recommend accordingly.
Is there any model that i can tweak and use for this purpose?
PS: I tried using back propagation neural network but it did not solve my problem.
machine-learning data-science recommendation-engine machine-learning-model
asked Nov 22 at 20:13
Jake
1
Hi Jake. You question is very broad, so it's hard to provide an answer succinctly. The name for the capability you are after is a "recommender system". A famous example (largely because a substantial monetary prize was offered for the best solution) is the Netflix Movie Recommendation Challenge. There are also courses available online specifically around recommender systems, such as this one on DataCamp.
– Chris
Nov 23 at 7:25
add a comment |
I am a beginner in the field of Data Science and i have a problem to solve which requires me to build a model that can suggest posts to users along with match percentage and users can reject the posts after looking at the description and give feedback on what was the issue and that should feedback needs to be used by my model to retrain it and recommend accordingly.
Is there any model that i can tweak and use for this purpose?
PS: I tried using back propagation neural network but it did not solve my problem.
machine-learning data-science recommendation-engine machine-learning-model
asked Nov 22 at 20:13
Jake
1
I am a beginner in the field of Data Science and i have a problem to solve which requires me to build a model that can suggest posts to users along with match percentage and users can reject the posts after looking at the description and give feedback on what was the issue and that should feedback needs to be used by my model to retrain it and recommend accordingly.
Is there any model that i can tweak and use for this purpose?
PS: I tried using back propagation neural network but it did not solve my problem.
machine-learning data-science recommendation-engine machine-learning-model
machine-learning data-science recommendation-engine machine-learning-model
asked Nov 22 at 20:13
Jake
1
asked Nov 22 at 20:13
Jake
1
asked Nov 22 at 20:13
Jake
1
asked Nov 22 at 20:13
Jake
1
asked Nov 22 at 20:13
Jake
1
1
Hi Jake. You question is very broad, so it's hard to provide an answer succinctly. The name for the capability you are after is a "recommender system". A famous example (largely because a substantial monetary prize was offered for the best solution) is the Netflix Movie Recommendation Challenge. There are also courses available online specifically around recommender systems, such as this one on DataCamp.
– Chris
Nov 23 at 7:25
add a comment |
Hi Jake. You question is very broad, so it's hard to provide an answer succinctly. The name for the capability you are after is a "recommender system". A famous example (largely because a substantial monetary prize was offered for the best solution) is the Netflix Movie Recommendation Challenge. There are also courses available online specifically around recommender systems, such as this one on DataCamp.
– Chris
Nov 23 at 7:25
Hi Jake. You question is very broad, so it's hard to provide an answer succinctly. The name for the capability you are after is a "recommender system". A famous example (largely because a substantial monetary prize was offered for the best solution) is the Netflix Movie Recommendation Challenge. There are also courses available online specifically around recommender systems, such as this one on DataCamp.
– Chris
Nov 23 at 7:25
Hi Jake. You question is very broad, so it's hard to provide an answer succinctly. The name for the capability you are after is a "recommender system". A famous example (largely because a substantial monetary prize was offered for the best solution) is the Netflix Movie Recommendation Challenge. There are also courses available online specifically around recommender systems, such as this one on DataCamp.
– Chris
Nov 23 at 7:25
add a comment |
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Hi Jake. You question is very broad, so it's hard to provide an answer succinctly. The name for the capability you are after is a "recommender system". A famous example (largely because a substantial monetary prize was offered for the best solution) is the Netflix Movie Recommendation Challenge. There are also courses available online specifically around recommender systems, such as this one on DataCamp.
– Chris
Nov 23 at 7:25