About: Towards Fashion Recommendation: An AI System for Clothing Data Retrieval and Analysis

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Towards Fashion Recommendation: An AI System for Clothing Data Retrieval and Analysis Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Towards Fashion Recommendation: An AI System for Clothing Data Retrieval and Analysis
Creator	Chrysopoulos, Antonios Kotouza, Maria Kyprianidis, Alexandros-Charalampos Mitkas, Pericles Tsarouchis, Sotirios-Filippos
source	PMC
abstract	Nowadays, the fashion industry is moving towards fast fashion, offering a large selection of garment products in a quicker and cheaper manner. To this end, the fashion designers are required to come up with a wide and diverse amount of fashion products in a short time frame. At the same time, the fashion retailers are oriented towards using technology, in order to design and provide products tailored to their consumers’ needs, in sync with the newest fashion trends. In this paper, we propose an artificial intelligence system which operates as a personal assistant to a fashion product designer. The system’s architecture and all its components are presented, with emphasis on the data collection and data clustering subsystems. In our use case scenario, datasets of garment products are retrieved from two different sources and are transformed into a specific format by making use of Natural Language Processes. The two datasets are clustered separately using different mixed-type clustering algorithms and comparative results are provided, highlighting the usefulness of the clustering procedure in the clothing product recommendation problem.
has issue date	2020-05-06(xsd:dateTime)
bibo:doi	10.1007/978-3-030-49186-4_36
has license	no-cc
sha1sum (hex)	72bef4307a7f60ea66d6b0c1bc67fd6a56aa4df5
schema:url	https://doi.org/10.1007/978-3-030-49186-4_36
resource representing a document's title	Towards Fashion Recommendation: An AI System for Clothing Data Retrieval and Analysis
has PubMed Central identifier	PMC7256565
schema:publication	Artificial Intelligence Applications and Innovations
resource representing a document's body	covid:72bef4307a7f60ea66d6b0c1bc67fd6a56aa4df5#body_text
is schema:about of	named entity 'clustering' named entity 'fashion' named entity 'making' named entity 'Language' named entity 'Retrieval' »more»

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software