Item Matching using Text Description and Similarity Search
In this paper, we focus on the problem of item matching using only the description. Those specific items not only lack a unique code but also contain short text descriptions, making the item matching process difficult. Our goal is to compare products using only the description provided by the purcha...
Gespeichert in:
Hauptverfasser: | , , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Appel, Ana Paula Silva, Anderson Luis de Paula Silva, Adriana Reigota Santos, Caique Dutra da Silva, Thiago Logo de Araujo, Rafael Poggi de Aquino, Luiz Carlos Faray |
description | In this paper, we focus on the problem of item matching using only the
description. Those specific items not only lack a unique code but also contain
short text descriptions, making the item matching process difficult. Our goal
is to compare products using only the description provided by the purchase
process. Therefore, evaluating other characteristics and differences can
uncover possible flaws during the acquiring phase. However, the text of the
items that we were working on was very small, with numbers due to the nature of
the products and we have a limited amount of time to develop the solution which
was 8 weeks. As result, we showed that working using a well-oriented
methodology we were able to deliver a successful MVP and achieve the results
expected with up to 55% match. |
doi_str_mv | 10.48550/arxiv.2206.14097 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2206_14097</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2206_14097</sourcerecordid><originalsourceid>FETCH-LOGICAL-a677-a190368bb0aad6f65dfccb73341b544cc6b8bbeff9163604f95b835c8a3bf0383</originalsourceid><addsrcrecordid>eNotj8tuwjAURL1hUQEf0FX9A0ltru047CpaHhKoC7KPrh0bLJEUOS6Cv-e5mVmMdDSHkHfOcqGlZJ8Yz-GUTyZM5Vywsngj01VyLd1gsvvQ7eh_f8_KnRP9dr2N4ZjCX0exa-g2tOGAMaQL3TqMdj8iA4-H3o1fPSTV_KeaLbP172I1-1pnqIoiQ14yUNoYhtgor2TjrTUFgOBGCmGtMrfReV9yBYoJX0qjQVqNYDwDDUPy8cQ-ztfHGFqMl_ouUT8k4Ao-7EHp</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Item Matching using Text Description and Similarity Search</title><source>arXiv.org</source><creator>Appel, Ana Paula ; Silva, Anderson Luis de Paula ; Silva, Adriana Reigota ; Santos, Caique Dutra ; da Silva, Thiago Logo ; de Araujo, Rafael Poggi ; de Aquino, Luiz Carlos Faray</creator><creatorcontrib>Appel, Ana Paula ; Silva, Anderson Luis de Paula ; Silva, Adriana Reigota ; Santos, Caique Dutra ; da Silva, Thiago Logo ; de Araujo, Rafael Poggi ; de Aquino, Luiz Carlos Faray</creatorcontrib><description>In this paper, we focus on the problem of item matching using only the
description. Those specific items not only lack a unique code but also contain
short text descriptions, making the item matching process difficult. Our goal
is to compare products using only the description provided by the purchase
process. Therefore, evaluating other characteristics and differences can
uncover possible flaws during the acquiring phase. However, the text of the
items that we were working on was very small, with numbers due to the nature of
the products and we have a limited amount of time to develop the solution which
was 8 weeks. As result, we showed that working using a well-oriented
methodology we were able to deliver a successful MVP and achieve the results
expected with up to 55% match.</description><identifier>DOI: 10.48550/arxiv.2206.14097</identifier><language>eng</language><subject>Computer Science - Information Retrieval</subject><creationdate>2022-06</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,782,887</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2206.14097$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2206.14097$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Appel, Ana Paula</creatorcontrib><creatorcontrib>Silva, Anderson Luis de Paula</creatorcontrib><creatorcontrib>Silva, Adriana Reigota</creatorcontrib><creatorcontrib>Santos, Caique Dutra</creatorcontrib><creatorcontrib>da Silva, Thiago Logo</creatorcontrib><creatorcontrib>de Araujo, Rafael Poggi</creatorcontrib><creatorcontrib>de Aquino, Luiz Carlos Faray</creatorcontrib><title>Item Matching using Text Description and Similarity Search</title><description>In this paper, we focus on the problem of item matching using only the
description. Those specific items not only lack a unique code but also contain
short text descriptions, making the item matching process difficult. Our goal
is to compare products using only the description provided by the purchase
process. Therefore, evaluating other characteristics and differences can
uncover possible flaws during the acquiring phase. However, the text of the
items that we were working on was very small, with numbers due to the nature of
the products and we have a limited amount of time to develop the solution which
was 8 weeks. As result, we showed that working using a well-oriented
methodology we were able to deliver a successful MVP and achieve the results
expected with up to 55% match.</description><subject>Computer Science - Information Retrieval</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj8tuwjAURL1hUQEf0FX9A0ltru047CpaHhKoC7KPrh0bLJEUOS6Cv-e5mVmMdDSHkHfOcqGlZJ8Yz-GUTyZM5Vywsngj01VyLd1gsvvQ7eh_f8_KnRP9dr2N4ZjCX0exa-g2tOGAMaQL3TqMdj8iA4-H3o1fPSTV_KeaLbP172I1-1pnqIoiQ14yUNoYhtgor2TjrTUFgOBGCmGtMrfReV9yBYoJX0qjQVqNYDwDDUPy8cQ-ztfHGFqMl_ouUT8k4Ao-7EHp</recordid><startdate>20220628</startdate><enddate>20220628</enddate><creator>Appel, Ana Paula</creator><creator>Silva, Anderson Luis de Paula</creator><creator>Silva, Adriana Reigota</creator><creator>Santos, Caique Dutra</creator><creator>da Silva, Thiago Logo</creator><creator>de Araujo, Rafael Poggi</creator><creator>de Aquino, Luiz Carlos Faray</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20220628</creationdate><title>Item Matching using Text Description and Similarity Search</title><author>Appel, Ana Paula ; Silva, Anderson Luis de Paula ; Silva, Adriana Reigota ; Santos, Caique Dutra ; da Silva, Thiago Logo ; de Araujo, Rafael Poggi ; de Aquino, Luiz Carlos Faray</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a677-a190368bb0aad6f65dfccb73341b544cc6b8bbeff9163604f95b835c8a3bf0383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Information Retrieval</topic><toplevel>online_resources</toplevel><creatorcontrib>Appel, Ana Paula</creatorcontrib><creatorcontrib>Silva, Anderson Luis de Paula</creatorcontrib><creatorcontrib>Silva, Adriana Reigota</creatorcontrib><creatorcontrib>Santos, Caique Dutra</creatorcontrib><creatorcontrib>da Silva, Thiago Logo</creatorcontrib><creatorcontrib>de Araujo, Rafael Poggi</creatorcontrib><creatorcontrib>de Aquino, Luiz Carlos Faray</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Appel, Ana Paula</au><au>Silva, Anderson Luis de Paula</au><au>Silva, Adriana Reigota</au><au>Santos, Caique Dutra</au><au>da Silva, Thiago Logo</au><au>de Araujo, Rafael Poggi</au><au>de Aquino, Luiz Carlos Faray</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Item Matching using Text Description and Similarity Search</atitle><date>2022-06-28</date><risdate>2022</risdate><abstract>In this paper, we focus on the problem of item matching using only the
description. Those specific items not only lack a unique code but also contain
short text descriptions, making the item matching process difficult. Our goal
is to compare products using only the description provided by the purchase
process. Therefore, evaluating other characteristics and differences can
uncover possible flaws during the acquiring phase. However, the text of the
items that we were working on was very small, with numbers due to the nature of
the products and we have a limited amount of time to develop the solution which
was 8 weeks. As result, we showed that working using a well-oriented
methodology we were able to deliver a successful MVP and achieve the results
expected with up to 55% match.</abstract><doi>10.48550/arxiv.2206.14097</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.48550/arxiv.2206.14097 |
ispartof | |
issn | |
language | eng |
recordid | cdi_arxiv_primary_2206_14097 |
source | arXiv.org |
subjects | Computer Science - Information Retrieval |
title | Item Matching using Text Description and Similarity Search |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-05T05%3A47%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Item%20Matching%20using%20Text%20Description%20and%20Similarity%20Search&rft.au=Appel,%20Ana%20Paula&rft.date=2022-06-28&rft_id=info:doi/10.48550/arxiv.2206.14097&rft_dat=%3Carxiv_GOX%3E2206_14097%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |