Gsyfuy

Difference on montgomery curve equation between EFD and RFC7748

Are there historical instances of the capital of a colonising country being temporarily or permanently shifted to one of its colonies?

Contract Factories

Do I really need to have a scientific explanation for my premise?

Recommendation letter by significant other if you worked with them professionally?

What Happens when Passenger Refuses to Fly Boeing 737 Max?

Shifting between bemols (flats) and diesis (sharps)in the key signature

Motivation for Zeta Function of an Algebraic Variety

Signed and unsigned numbers

Find longest word in a string: are any of these algorithms good?

Virginia employer terminated employee and wants signing bonus returned

How to draw cubes in a 3 dimensional plane

Single word request: Harming the benefactor

PTIJ: Should I kill my computer after installing software?

What are actual Tesla M60 models used by AWS?

Did Carol Danvers really receive a Kree blood tranfusion?

PTIJ: wiping amalek’s memory?

Am I not good enough for you?

How is the wildcard * interpreted as a command?

Latex does not go to next line

What's the "normal" opposite of flautando?

Should I tell my boss the work he did was worthless

How to write ı (i without dot) character in pgf-pie

Is it "Vierergruppe" or "Viergruppe", or is there a distinction?

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

machine-learning recommender-system

share|improve this question

asked 3 hours ago

Diogo MoreiraDiogo Moreira

1112

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.

$endgroup$

add a comment | 

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

machine-learning recommender-system

share|improve this question

asked 3 hours ago

Diogo MoreiraDiogo Moreira

1112

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.

$endgroup$

add a comment | 

$begingroup$

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

machine-learning recommender-system

share|improve this question

asked 3 hours ago

Diogo MoreiraDiogo Moreira

1112

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.

$endgroup$

share|improve this question

asked 3 hours ago

Diogo MoreiraDiogo Moreira

1112

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

asked 3 hours ago

Diogo MoreiraDiogo Moreira

1112

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 3 hours ago

Diogo MoreiraDiogo Moreira

1112

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 3 hours ago

Diogo MoreiraDiogo Moreira

1112

1 Answer
1

active

oldest

votes

2

$begingroup$

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

answered 2 hours ago

IngolifsIngolifs

1287

$endgroup$

add a comment | 

Your Answer

StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");

StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "557"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});

function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});


}
});

Diogo Moreira is a new contributor. Be nice, and check out our Code of Conduct.

draft saved

draft discarded

Sign up or log in

StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});

Sign up using Google

Sign up using Facebook

Sign up using Email and Password

Post as a guest

Name

Email

Required, but never shown

StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f47128%2fdo-recommendation-systems-necessarily-use-machine-learning-algorithms%23new-answer', 'question_page');
}
);

Post as a guest

Name

Email

Required, but never shown

2

$begingroup$

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

answered 2 hours ago

IngolifsIngolifs

1287

$endgroup$

add a comment | 

2

$begingroup$

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

answered 2 hours ago

IngolifsIngolifs

1287

$endgroup$

add a comment | 

$begingroup$

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

answered 2 hours ago

IngolifsIngolifs

1287

$endgroup$

share|improve this answer

answered 2 hours ago

IngolifsIngolifs

1287

answered 2 hours ago

IngolifsIngolifs

1287

answered 2 hours ago

IngolifsIngolifs

1287