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Do recommendation systems necessarily use machine learning algorithms?


Studying machine learning algorithms: depth of understanding vs. number of algorithmsWhen to use what - Machine LearningResearch in high-dimensional statistics vs. machine learning?Using Machine Learning to Predict Musical ScalesMake use of relationships on recommendation systemsWhich supervised learning algorithms are available for matching?How can I use machine learning methods on modelling time series data?Milestones of data science projectWhich Kind of Machine Learning should I use for an Optimization Problem?Reading strategy for ML books













2












$begingroup$


I am studying about evaluation of both recommendation systems and machine learning algorithms in recent times, trying to define a scope for my masters research. After some reading time I'm starting to understand several concepts, but one thing was not clear to me:



Do recommendation systems necessarily use machine learning algorithms?



I mean, I know these two can be used combined, but in most of the papers I read about recommender systems evaluation, they do not even mention anything about Machine Learning.



Also, if you can suggest some papers that I can read, I would be very grateful










share|improve this question







New contributor




Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







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    2












    $begingroup$


    I am studying about evaluation of both recommendation systems and machine learning algorithms in recent times, trying to define a scope for my masters research. After some reading time I'm starting to understand several concepts, but one thing was not clear to me:



    Do recommendation systems necessarily use machine learning algorithms?



    I mean, I know these two can be used combined, but in most of the papers I read about recommender systems evaluation, they do not even mention anything about Machine Learning.



    Also, if you can suggest some papers that I can read, I would be very grateful










    share|improve this question







    New contributor




    Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      2












      2








      2





      $begingroup$


      I am studying about evaluation of both recommendation systems and machine learning algorithms in recent times, trying to define a scope for my masters research. After some reading time I'm starting to understand several concepts, but one thing was not clear to me:



      Do recommendation systems necessarily use machine learning algorithms?



      I mean, I know these two can be used combined, but in most of the papers I read about recommender systems evaluation, they do not even mention anything about Machine Learning.



      Also, if you can suggest some papers that I can read, I would be very grateful










      share|improve this question







      New contributor




      Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am studying about evaluation of both recommendation systems and machine learning algorithms in recent times, trying to define a scope for my masters research. After some reading time I'm starting to understand several concepts, but one thing was not clear to me:



      Do recommendation systems necessarily use machine learning algorithms?



      I mean, I know these two can be used combined, but in most of the papers I read about recommender systems evaluation, they do not even mention anything about Machine Learning.



      Also, if you can suggest some papers that I can read, I would be very grateful







      machine-learning recommender-system






      share|improve this question







      New contributor




      Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 4 hours ago









      Diogo MoreiraDiogo Moreira

      1112




      1112




      New contributor




      Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      New contributor





      Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Diogo Moreira is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.




















          1 Answer
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          3












          $begingroup$

          There's nothing about a recommendation system that absolutely necessitates some kind of machine learning. Indeed, I've seen decision systems in use that were essentially just someone's idea about what the customer's preferences ought to be.



          A recommender can be based on anything from a few ad-hoc 'common sense' rules, to a logistic regression someone did on some data a few years ago and whose parameters are hardcoded into the system, to a complicated ensemble of machine-learning algorithms that are regularly and constantly trained on new data.



          The use of machine learning for recommender systems is partly driven by necessity, partly by fad (at least from what I have seen). If a simple recommender works well, and accurately predicts what the user wants, there's no need for a machine to learn anything. If there's a huge amount of data, hiding some very deep relationships that humans are unable to pick out, that's where machine learning becomes useful.






          share|improve this answer









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            1 Answer
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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

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            active

            oldest

            votes









            3












            $begingroup$

            There's nothing about a recommendation system that absolutely necessitates some kind of machine learning. Indeed, I've seen decision systems in use that were essentially just someone's idea about what the customer's preferences ought to be.



            A recommender can be based on anything from a few ad-hoc 'common sense' rules, to a logistic regression someone did on some data a few years ago and whose parameters are hardcoded into the system, to a complicated ensemble of machine-learning algorithms that are regularly and constantly trained on new data.



            The use of machine learning for recommender systems is partly driven by necessity, partly by fad (at least from what I have seen). If a simple recommender works well, and accurately predicts what the user wants, there's no need for a machine to learn anything. If there's a huge amount of data, hiding some very deep relationships that humans are unable to pick out, that's where machine learning becomes useful.






            share|improve this answer









            $endgroup$

















              3












              $begingroup$

              There's nothing about a recommendation system that absolutely necessitates some kind of machine learning. Indeed, I've seen decision systems in use that were essentially just someone's idea about what the customer's preferences ought to be.



              A recommender can be based on anything from a few ad-hoc 'common sense' rules, to a logistic regression someone did on some data a few years ago and whose parameters are hardcoded into the system, to a complicated ensemble of machine-learning algorithms that are regularly and constantly trained on new data.



              The use of machine learning for recommender systems is partly driven by necessity, partly by fad (at least from what I have seen). If a simple recommender works well, and accurately predicts what the user wants, there's no need for a machine to learn anything. If there's a huge amount of data, hiding some very deep relationships that humans are unable to pick out, that's where machine learning becomes useful.






              share|improve this answer









              $endgroup$















                3












                3








                3





                $begingroup$

                There's nothing about a recommendation system that absolutely necessitates some kind of machine learning. Indeed, I've seen decision systems in use that were essentially just someone's idea about what the customer's preferences ought to be.



                A recommender can be based on anything from a few ad-hoc 'common sense' rules, to a logistic regression someone did on some data a few years ago and whose parameters are hardcoded into the system, to a complicated ensemble of machine-learning algorithms that are regularly and constantly trained on new data.



                The use of machine learning for recommender systems is partly driven by necessity, partly by fad (at least from what I have seen). If a simple recommender works well, and accurately predicts what the user wants, there's no need for a machine to learn anything. If there's a huge amount of data, hiding some very deep relationships that humans are unable to pick out, that's where machine learning becomes useful.






                share|improve this answer









                $endgroup$



                There's nothing about a recommendation system that absolutely necessitates some kind of machine learning. Indeed, I've seen decision systems in use that were essentially just someone's idea about what the customer's preferences ought to be.



                A recommender can be based on anything from a few ad-hoc 'common sense' rules, to a logistic regression someone did on some data a few years ago and whose parameters are hardcoded into the system, to a complicated ensemble of machine-learning algorithms that are regularly and constantly trained on new data.



                The use of machine learning for recommender systems is partly driven by necessity, partly by fad (at least from what I have seen). If a simple recommender works well, and accurately predicts what the user wants, there's no need for a machine to learn anything. If there's a huge amount of data, hiding some very deep relationships that humans are unable to pick out, that's where machine learning becomes useful.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 3 hours ago









                IngolifsIngolifs

                1387




                1387




















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