Customer Informatics by Embedding SMS Headers-Reference-Cited by-同舟云学术

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Customer Informatics by Embedding SMS Headers

Published:2023-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)
language:
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Author:

Tunuguntla Surya Teja¹^ORCID,Shrivastava Arpan¹^ORCID,Mathur Alok¹^ORCID,Shukla Abhay²^ORCID,Banerjee Dipyaman¹^ORCID

Affiliation:

1. Airtel Digital, India

2. Meesho, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3570991.3570992

Reference17 articles.

1. Contributions to the study of SMS spam filtering

2. Development of content‐based SMS classification application by using Word2Vec‐based feature extraction

3. From Motion Activity to Geo-Embeddings: Generating and Exploring Vector Representations of Locations, Traces and Visitors through Large-Scale Mobility Data

4. Representation learning for very short texts using weighted word embedding aggregation

5. SMS spam filtering: Methods and data

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Domain2Vec: Identifying User Affinities using Domain Embeddings;Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD);2024-01-04

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