Mining points of interest via address embeddings-Reference-Cited by-同舟云学术

Mining points of interest via address embeddings

Published:2021-11-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising
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Author:

Ganesan Abhinav¹,Gupta Anubhav²,Mathew Jose¹

Affiliation:

1. Bundl Technologies (Swiggy), Bangalore, Karnataka, India

2. University of Maryland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3486183.3491002

Reference28 articles.

1. World explorer

2. Geographical address classification without using geolocation coordinates

3. T. Ravindra Babu and Vishal Kakkar. 2017. Address Fraud: Monkey Typed Address Classification for e-Commerce Applications. In Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval eCOM@SIGIR 2017 Tokyo Japan August 11 2017 (CEUR Workshop Proceedings Vol. 2311). T. Ravindra Babu and Vishal Kakkar. 2017. Address Fraud: Monkey Typed Address Classification for e-Commerce Applications. In Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval eCOM@SIGIR 2017 Tokyo Japan August 11 2017 (CEUR Workshop Proceedings Vol. 2311).

4. G-RoI

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