ProMap: Product Mapping Datasets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10484938" target="_blank" >RIV/00216208:11320/24:10484938 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-56060-6_11" target="_blank" >https://doi.org/10.1007/978-3-031-56060-6_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-56060-6_11" target="_blank" >10.1007/978-3-031-56060-6_11</a>
Alternative languages
Result language
angličtina
Original language name
ProMap: Product Mapping Datasets
Original language description
The goal of product mapping is to decide, whether two listings from two different e-shops describe the same products. Existing datasets of matching and non-matching pairs of products, however, often suffer from incomplete product information or contain only very distant non-matching products. In this paper, we introduce two new datasets for product mapping: ProMapCz consisting of 1,495 Czech product pairs and ProMapEn consisting of 1,555 English product pairs of matching and non-matching products manually scraped from two pairs of e-shops. The datasets contain both images and textual descriptions of the products, including their specifications, making them one of the most complete datasets for product mapping. Additionally, we divide the non-matching products into two different categories - close non-matches and medium non-matches, based on how similar the products are to each other. Even the medium non-matches are, however, pairs of products that are much more similar than non-matches in other datasets - for example, they still need to have the same brand and similar name and price. Finally, we train a number of product matching models on these datasets to demonstrate the advantages of having these two types of non-matches for the analysis of these models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT II
ISBN
978-3-031-56059-0
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
14
Pages from-to
159-172
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
CHAM
Event location
Glasgow
Event date
Mar 24, 2024
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
001211832000011