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Computer Science > Information Retrieval

arXiv:2206.14097 (cs)
[Submitted on 28 Jun 2022 (v1), last revised 1 Jul 2022 (this version, v2)]

Title:Item Matching using Text Description and Similarity Search

Authors:Ana Paula Appel, Anderson Luis de Paula Silva, Adriana Reigota Silva, Caique Dutra Santos, Thiago Logo da Silva, Rafael Poggi de Araujo, Luiz Carlos Faray de Aquino
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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.
Subjects: Information Retrieval (cs.IR)
Cite as: arXiv:2206.14097 [cs.IR]
  (or arXiv:2206.14097v2 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2206.14097

Submission history

From: Ana Paula Appel [view email]
[v1] Tue, 28 Jun 2022 15:46:25 UTC (1,927 KB)
[v2] Fri, 1 Jul 2022 12:48:56 UTC (440 KB)
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