Deep Learning-based Semantic Search Techniques for Enhancing Product Matching in E-commerce-Reference-Cited by-同舟云学术

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Deep Learning-based Semantic Search Techniques for Enhancing Product Matching in E-commerce

Published:2024-04-13 Issue: Volume:33 Page:1-9
ISSN:
Container-title:2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)
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Author:

Aamir Fatima¹,Sherafgan Raheimeen¹,Arbab Tehreem¹,Jamil Akhtar¹^ORCID,Bhatti Fazeel Nadeem²,Hameed Alaa Ali³^ORCID

Affiliation:

1. National University of Computer and Emerging Sciences,Department of Computer Science,Islamabad,Pakistan

2. Data and Machine Learning Lead, Upstart Commerce,Islamabad,Pakistan

3. Istinye University,Department of Computer Engineering,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10585267/10585616/10586148.pdf?arnumber=10586148

Reference22 articles.

1. Semantic Product Search

2. Shopping queries dataset: A large-scale ESCI benchmark for improving product search;Reddy;arXiv preprint,2022

3. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

4. AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction

5. Language Models As Semantic Indexers;Jin;arXiv preprint,2023

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