Product exploration based on latent visual attributes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10366342" target="_blank" >RIV/00216208:11320/17:10366342 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3132847.3133175" target="_blank" >http://dx.doi.org/10.1145/3132847.3133175</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3132847.3133175" target="_blank" >10.1145/3132847.3133175</a>

Result language

angličtina

Original language name

Product exploration based on latent visual attributes

Original language description

In this demo paper, we present a prototype web application of a product search engine of a fashion e-shop. Although e-shop products consist of full-text description, relational attributes (e.g., price type, size, color, etc.) as well as visual information (product photo) traditional search engines in e-shops only provide full-text and relational attributes for product filtering. In our retrieval model we incorporate also the visual information into the search by extracting visual-semantic features using deep convolutional neural networks. Furthermore, visual exploration of the product space using the visual-semantic features (multi-example queries) is used to dynamically discover latent visual attributes that could enhance the original relational schema by fuzzy attributes (e.g., a floral pattern in product). In the demo, we show how these latent attributes could be used to recommend the user preferred products and even outfits (e.g., shoes, bag, jacket) that fit a certain visual style.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA17-22224S" target="_blank" >GA17-22224S: User preference analytics in multimedia exploration models</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

ISBN

978-1-4503-4918-5

ISSN

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e-ISSN

neuvedeno

Number of pages

4

Pages from-to

2531-2534

Publisher name

ACM

Place of publication

New York

Event location

Singapore

Event date

Nov 6, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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