Ggthjy

Should I tell my boss the work he did was worthless

Are tamper resistant receptacles really safer?

Hotkey (or other quick way) to insert a keyframe for only one component of a vector-valued property?

weren't playing vs didn't play

Latex does not go to next line

How to detect if C code (which needs 'extern C') is compiled in C++

How to secure an aircraft at a transient parking space?

Do recommendation systems necessarily use machine learning algorithms?

How many characters using PHB rules does it take to be able to have access to any PHB spell at the start of an adventuring day?

Good for you! in Russian

Vocabulary for giving just numbers, not a full answer

Signed and unsigned numbers

What are some noteworthy "mic-drop" moments in math?

What are the threaded holes in Manfrotto camera brackets?

How can I ensure my trip to the UK will not have to be cancelled because of Brexit?

Definition of Statistic

Accountant/ lawyer will not return my call

Accepted offer letter, position changed

Can Mathematica be used to create an Artistic 3D extrusion from a 2D image and wrap a line pattern around it?

Does the nature of the Apocalypse in The Umbrella Academy change from the first to the last episode?

How are showroom/display vehicles prepared?

Difference on montgomery curve equation between EFD and RFC7748

Did Carol Danvers really receive a Kree blood tranfusion?

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

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

1

$begingroup$

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

1062

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 | 

1

$begingroup$

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

1062

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

1062

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

1062

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

1062

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

1062

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

1062

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