Address Location Correction System for Q-commerce-Reference-Cited by-同舟云学术

Address Location Correction System for Q-commerce

Published:2022-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Second International Conference on AI-ML Systems
language:
Short-container-title:

Author:

Reddy Yaswanth¹,Sadu Sumanth¹,Ganesan Abhinav¹,Mathew Jose²

Affiliation:

1. Bundl Technologies (Swiggy), IN

2. Swiggy, IN

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3564121.3564800

Reference16 articles.

1. T Ravindra Babu and Vishal Kakkar . 2017 . Address Fraud: Monkey Typed Address Classification for e-Commerce Applications . In SIGIR Workshop on e-Commerce. T Ravindra Babu and Vishal Kakkar. 2017. Address Fraud: Monkey Typed Address Classification for e-Commerce Applications. In SIGIR Workshop on e-Commerce.

2. SAGEL

3. Defense Mapping Agency Washington DC 2021 . Department of Defense World Geodetic System 1984 : Its Definition and Relationships with Local Geodetic Systems. Second Edition. (2021). Retrieved July 10, 2021 from https://apps.dtic.mil/sti/citations/ADA280358 Defense Mapping Agency Washington DC 2021. Department of Defense World Geodetic System 1984: Its Definition and Relationships with Local Geodetic Systems. Second Edition. (2021). Retrieved July 10, 2021 from https://apps.dtic.mil/sti/citations/ADA280358

4. Martin Ester Hans-Peter Kriegel Jörg Sander Xiaowei Xu 1996. A density-based algorithm for discovering clusters in large spatial databases with noise.. In kdd Vol. 96. 226–231. Martin Ester Hans-Peter Kriegel Jörg Sander Xiaowei Xu 1996. A density-based algorithm for discovering clusters in large spatial databases with noise.. In kdd Vol. 96. 226–231.

5. Mining points of interest via address embeddings