Unconstrained Product Categorization with Sequence-to-Sequence Models

SIGIR E-Commerce Data Challenge, 2018. Michigan, USA(6th place out of 28 participants)

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Bibliographic Details
Main Authors:	Li, Maggie Yundi, Kok, Stanley, Stanley Kok
Other Authors:	DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS
Format:	Working Paper/Technical Report
Published:	2019
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/157228
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-157228
record_format	dspace
spelling	sg-nus-scholar.10635-1572282024-04-05T02:38:54Z Unconstrained Product Categorization with Sequence-to-Sequence Models Li, Maggie Yundi Kok, Stanley Stanley Kok DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS SIGIR E-Commerce Data Challenge, 2018. Michigan, USA(6th place out of 28 participants) 2019-07-29T08:16:50Z 2019-07-29T08:16:50Z 2018-07-12 2019-07-29T07:28:10Z Working Paper/Technical Report Li, Maggie Yundi, Kok, Stanley, Stanley Kok (2018-07-12). Unconstrained Product Categorization with Sequence-to-Sequence Models. SIGIR E-Commerce Data Challenge, 2018. Michigan, USA(6th place out of 28 participants). ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/157228 Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	SIGIR E-Commerce Data Challenge, 2018. Michigan, USA(6th place out of 28 participants)
author2	DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS
author_facet	DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS Li, Maggie Yundi Kok, Stanley Stanley Kok
format	Working Paper/Technical Report
author	Li, Maggie Yundi Kok, Stanley Stanley Kok
spellingShingle	Li, Maggie Yundi Kok, Stanley Stanley Kok Unconstrained Product Categorization with Sequence-to-Sequence Models
author_sort	Li, Maggie Yundi
title	Unconstrained Product Categorization with Sequence-to-Sequence Models
title_short	Unconstrained Product Categorization with Sequence-to-Sequence Models
title_full	Unconstrained Product Categorization with Sequence-to-Sequence Models
title_fullStr	Unconstrained Product Categorization with Sequence-to-Sequence Models
title_full_unstemmed	Unconstrained Product Categorization with Sequence-to-Sequence Models
title_sort	unconstrained product categorization with sequence-to-sequence models
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/157228
_version_	1800913681583702016

Unconstrained Product Categorization with Sequence-to-Sequence Models

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