{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T22:54:22Z","timestamp":1753052062728,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557515","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:22:22Z","timestamp":1665883342000},"page":"5096-5097","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Geographical Address Models in the Indian e-Commerce"],"prefix":"10.1145","author":[{"given":"Ravindra Babu","family":"Tallamraju","sequence":"first","affiliation":[{"name":"Sahaj AI Software Pvt. Ltd, Bangalore, India"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Peerzada Abrar. 2018. Article in The Hindu Flipkart uses AI to tackle address frauds complexities. https:\/\/www.thehindu.com\/todays-paper\/tp-business\/flipkart-uses-ai-to-tackle-address-frauds-complexities\/article23469714.ece?utm_source=tp-business&utm_medium=sticky_footer  Peerzada Abrar. 2018. Article in The Hindu Flipkart uses AI to tackle address frauds complexities. https:\/\/www.thehindu.com\/todays-paper\/tp-business\/flipkart-uses-ai-to-tackle-address-frauds-complexities\/article23469714.ece?utm_source=tp-business&utm_medium=sticky_footer"},{"key":"e_1_3_2_1_2_1","unstructured":"Haricharan Arkali. 2018. Article in Forbes India Flipkart's AI Future. https:\/\/www.forbesindia.com\/article\/leaderboard\/flipkarts-ai-future\/49979\/1  Haricharan Arkali. 2018. Article in Forbes India Flipkart's AI Future. https:\/\/www.forbesindia.com\/article\/leaderboard\/flipkarts-ai-future\/49979\/1"},{"key":"e_1_3_2_1_3_1","unstructured":"T Ravindra Babu. 2018. Inside Flipkart. https:\/\/www.youtube.com\/watch?v=nb0CmS1BX-8  T Ravindra Babu. 2018. Inside Flipkart. https:\/\/www.youtube.com\/watch?v=nb0CmS1BX-8"},{"key":"e_1_3_2_1_4_1","unstructured":"T. Ravindra Babu. 2019. Data Science Models in Fashion e-Commerce. https:\/\/www.youtube.com\/watch?v=jiIAZaIHvtw  T. Ravindra Babu. 2019. Data Science Models in Fashion e-Commerce. https:\/\/www.youtube.com\/watch?v=jiIAZaIHvtw"},{"key":"e_1_3_2_1_5_1","unstructured":"T. Ravindra Babu. 2022. Address Models for Indian e-Commerce Domain. https:\/\/www.youtube.com\/watch?v=0_UfHdFBmsE  T. Ravindra Babu. 2022. Address Models for Indian e-Commerce Domain. https:\/\/www.youtube.com\/watch?v=0_UfHdFBmsE"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2837689.2837696"},{"key":"e_1_3_2_1_7_1","unstructured":"T. Ravindra Babu Manas Kirti and Ashendra. 2016. Machine Learning Models for Large Scale Product Classification. https:\/\/slashn.flipkart.tech\/videos\/2016  T. Ravindra Babu Manas Kirti and Ashendra. 2016. Machine Learning Models for Large Scale Product Classification. https:\/\/slashn.flipkart.tech\/videos\/2016"},{"volume-title":"Learning Locality Maps from Noisy Geospatial Labels","author":"Dahiya Manjeet","key":"e_1_3_2_1_8_1","unstructured":"Manjeet Dahiya , Devendra Samatia , and Kabir Rustogi . 2020. Learning Locality Maps from Noisy Geospatial Labels . Association for Computing Machinery , New York, NY, USA , 601--608. https:\/\/doi.org\/10.1145\/3341105.3373933 10.1145\/3341105.3373933 Manjeet Dahiya, Devendra Samatia, and Kabir Rustogi. 2020. Learning Locality Maps from Noisy Geospatial Labels. Association for Computing Machinery, New York, NY, USA, 601--608. https:\/\/doi.org\/10.1145\/3341105.3373933"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3486183.3491002"},{"key":"e_1_3_2_1_10_1","volume-title":"SIGIR 2018 eCom","author":"Kakkar Vishal","year":"2018","unstructured":"Vishal Kakkar and Ravindra Babu T. 2018 . Address Clustering for e-Commerce Applications . SIGIR 2018 eCom , July 2018, Ann Arbor, Michigan, USA. https:\/\/sigir-ecom.github.io\/ecom 2018\/ecom18Papers\/paper8.pdf Vishal Kakkar and Ravindra Babu T. 2018. Address Clustering for e-Commerce Applications. SIGIR 2018 eCom, July 2018, Ann Arbor, Michigan, USA. https:\/\/sigir-ecom.github.io\/ecom2018\/ecom18Papers\/paper8.pdf"},{"key":"e_1_3_2_1_11_1","unstructured":"Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer and Veselin Stoyanov. 2019. RoBERTa: A Robustly Optimized BERT Pretraining Approach. https:\/\/arxiv.org\/abs\/1907.11692  Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer and Veselin Stoyanov. 2019. RoBERTa: A Robustly Optimized BERT Pretraining Approach. https:\/\/arxiv.org\/abs\/1907.11692"},{"key":"e_1_3_2_1_12_1","volume-title":"KDD 2020","author":"Mangalgi Shreyas","year":"2020","unstructured":"Shreyas Mangalgi , Lakshya Kumar , and Ravindra Babu Tallamraju . 2020 . Deep Contextual Embeddings for Address Classification in E-commerce. AI for Fashion , KDD 2020 . https:\/\/arxiv.org\/pdf\/2007.03020.pdf Shreyas Mangalgi, Lakshya Kumar, and Ravindra Babu Tallamraju. 2020. Deep Contextual Embeddings for Address Classification in E-commerce. AI for Fashion, KDD 2020. https:\/\/arxiv.org\/pdf\/2007.03020.pdf"},{"key":"e_1_3_2_1_13_1","unstructured":"Sriram Sharma. 2018. Article in Factor Daily How machine thinking is transforming Flipkart. https:\/\/archive.factordaily.com\/flipkart-ai-for-india\/  Sriram Sharma. 2018. Article in Factor Daily How machine thinking is transforming Flipkart. https:\/\/archive.factordaily.com\/flipkart-ai-for-india\/"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397536.3422254"},{"key":"e_1_3_2_1_15_1","volume-title":"SIGIR","author":"Vishal Kakkar Ravindra","year":"2017","unstructured":"Ravindra Babu T and Vishal Kakkar . 2017 . Address Fraud: Monkey Typed Address Classification for e-Commerce Applications. In eCom Workshop , SIGIR 2017. Tokyo, Japan. Ravindra Babu T and Vishal Kakkar. 2017. Address Fraud: Monkey Typed Address Classification for e-Commerce Applications. In eCom Workshop, SIGIR 2017. Tokyo, Japan."},{"key":"e_1_3_2_1_16_1","volume-title":"Addressing the world -- An address for everone. https:\/\/www.upu.int\/UPU\/media\/upu\/publications\/whitePaperAddressingTheWorldEn.pdf Retrieved","author":"Union Universal Postal","year":"2022","unstructured":"Universal Postal Union . 2012. Addressing the world -- An address for everone. https:\/\/www.upu.int\/UPU\/media\/upu\/publications\/whitePaperAddressingTheWorldEn.pdf Retrieved June 27, 2022 from Universal Postal Union. 2012. Addressing the world -- An address for everone. https:\/\/www.upu.int\/UPU\/media\/upu\/publications\/whitePaperAddressingTheWorldEn.pdf Retrieved June 27, 2022 from"},{"key":"e_1_3_2_1_17_1","unstructured":"Bijoy Venugopal. 2018. Article in Flipkart Stories With AI and ML Flipkart is addressing the uniquely Indian problem of problem addresses. https:\/\/stories.flipkart.com\/ai-ml-flipkart-indian-address\/?utm_source=newsletter_int&utm_medium=email&utm_campaign=wns_150318  Bijoy Venugopal. 2018. Article in Flipkart Stories With AI and ML Flipkart is addressing the uniquely Indian problem of problem addresses. https:\/\/stories.flipkart.com\/ai-ml-flipkart-indian-address\/?utm_source=newsletter_int&utm_medium=email&utm_campaign=wns_150318"}],"event":{"name":"CIKM '22: The 31st ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Atlanta GA USA","acronym":"CIKM '22"},"container-title":["Proceedings of the 31st ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557515","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557515","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:08Z","timestamp":1750182668000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557515"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":17,"alternative-id":["10.1145\/3511808.3557515","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557515","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]},"assertion":[{"value":"2022-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}