how to use trained model as recommend system?
I use tensorflow to build and train a Factorization Machine as a recommend system,the input is the combined features of special users and items,and the lable is the score of interest.but how can i use the trained model to recommend to real users,for there is more than 100k users and items respectively,the combination of users and items is so large,and calculate the score of the combination is impossilbe
tensorflow machine-learning recommendation-engine matrix-factorization
asked Nov 14 '18 at 2:10
Jack.SparrowJack.Sparrow
214
add a comment |
I use tensorflow to build and train a Factorization Machine as a recommend system,the input is the combined features of special users and items,and the lable is the score of interest.but how can i use the trained model to recommend to real users,for there is more than 100k users and items respectively,the combination of users and items is so large,and calculate the score of the combination is impossilbe
tensorflow machine-learning recommendation-engine matrix-factorization
asked Nov 14 '18 at 2:10
Jack.SparrowJack.Sparrow
214
add a comment |
I use tensorflow to build and train a Factorization Machine as a recommend system,the input is the combined features of special users and items,and the lable is the score of interest.but how can i use the trained model to recommend to real users,for there is more than 100k users and items respectively,the combination of users and items is so large,and calculate the score of the combination is impossilbe
tensorflow machine-learning recommendation-engine matrix-factorization
asked Nov 14 '18 at 2:10
Jack.SparrowJack.Sparrow
214
I use tensorflow to build and train a Factorization Machine as a recommend system,the input is the combined features of special users and items,and the lable is the score of interest.but how can i use the trained model to recommend to real users,for there is more than 100k users and items respectively,the combination of users and items is so large,and calculate the score of the combination is impossilbe
tensorflow machine-learning recommendation-engine matrix-factorization
tensorflow machine-learning recommendation-engine matrix-factorization
asked Nov 14 '18 at 2:10
Jack.SparrowJack.Sparrow
214
asked Nov 14 '18 at 2:10
Jack.SparrowJack.Sparrow
214
asked Nov 14 '18 at 2:10
Jack.SparrowJack.Sparrow
214
asked Nov 14 '18 at 2:10
Jack.SparrowJack.Sparrow
214
asked Nov 14 '18 at 2:10
Jack.SparrowJack.Sparrow
214
214
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
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: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
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
});
}
});
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
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53292206%2fhow-to-use-trained-model-as-recommend-system%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
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
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53292206%2fhow-to-use-trained-model-as-recommend-system%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
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
Required, but never shown
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
Required, but never shown
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
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
