Northwestern University

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Filtering by: Creator Seymen, Sinan Subject Industrial engineering

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Application of Constrained Optimization Models to Recommender Systems

Description:

Recommender systems (RSs) have become essential tools that provide personalized recommendations to their users. These systems may consider user, item provider, and system requirements simultaneously. With the inclusion of possibly clashing considerations, there is a growing focus on solving multiple-objective recommender system (MORS) problems as efficiently as possible. The constrained...

Keyword:

Constrained optimization, Recommender systems, and Personal recommendations

Subject:

Industrial engineering

Creator:

Seymen, Sinan

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_975783 and http://dissertations.umi.com/northwestern:16462