Advisor | Tabrizi, M. H. N | |
Author | Prateek, Prerna | |
Date Accessioned | 2017-01-11T19:59:06Z | |
Date Available | 2017-01-11T19:59:06Z | |
Date Created | 2016-12 | |
Date of Issue | 2016-08-29 | |
xmlui.metadata.dc.date.submitted | December 2016 | |
Identifier (URI) | http://hdl.handle.net/10342/6004 | |
Description | Online shopping has developed in parallel with the Internet, and Recommendation Systems have played a pivotal role in its growth. The recommendations are usually provided in two ways: Content-based Filtering and Collaborative Filtering. Both forms of recommendations face the problem of Cold-Start due to an initial lack of information. To overcome this issue, Image-based Recommendation Systems are introduced in order to allow the users to locate products based on similarity of images when purchasing products in categories such as: clothes, shoes, home-decor, kitchen and dining utilities, jewelry, and accessories by mostly viewing images. In this thesis, a Hybrid Model of displaying similar images to that of the product being viewed was developed using Deep Features and Description-based Models. The Hybrid Model displayed a set composed of all images that belong to both Deep Features and Description-based Models. Implementation and comparison of results were performed on 100,000 images of SBU Captioned Photo Dataset. | |
Mimetype | application/pdf | |
Language | en | |
Publisher | East Carolina University | |
Subject | Image Retrieval | |
Subject | Neural Network | |
Library of Congress Subject Headings | Recommender systems (Information filtering) | |
Library of Congress Subject Headings | Machine learning | |
Library of Congress Subject Headings | Teleshopping | |
Title | INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM | |
Type | Master's Thesis | |
xmlui.metadata.dc.date.updated | 2017-01-11T14:31:28Z | |
Department | Computer Science | |
xmlui.metadata.dc.degree.name | M.S. | |
xmlui.metadata.dc.degree.level | Masters | |
xmlui.metadata.dc.degree.discipline | MS-Software Engineering | |
xmlui.metadata.dc.degree.grantor | East Carolina University | |
xmlui.metadata.dc.degree.department | Computer Science | |
xmlui.metadata.dc.access.option | Open Access (at the request of the author) | |
xmlui.metadata.dc.type.material | text | |