Aritra Mandal

According to our database, Aritra Mandal authored at least 17 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

REFLEX: Reinforcement Feedback Learning with Large Language Models for E-commerce Query Expansion.

Yipeng Zhang, Bowen Liu, Xiaoshuang Zhang, Aritra Mandal, Canran Xu, Zhe Wu

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce.

Yipeng Zhang, Bowen Liu, Xiaoshuang Zhang, Aritra Mandal, Canran Xu, Zhe Wu

CoRR, September, 2025

Bridging Modality Gaps in e-Commerce Products via Vision-Language Alignment.

Yipeng Zhang, Hongju Yu, Aritra Mandal, Canran Xu, Qunzhi Zhou, Zhe Wu

CoRR, August, 2025

AI Guided Accelerator For Search Experience.

Jayanth Yetukuri, Mehran Elyasi, Samarth Agrawal, Aritra Mandal, Rui Kong, Harish Vempati, Ishita K. Khan

CoRR, August, 2025

Extracting Important Tokens in E-Commerce Queries with a Tag Interaction-Aware Transformer Model.

Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal, Liyang Hao, Ishita K. Khan, Daniel Tunkelang, Zhe Wu

CoRR, July, 2025

Bridging Modality Gaps in e-Commerce Products via Vision-Language Alignment.

Yipeng Zhang, Hongjun Yu, Aritra Mandal, Canran Xu, Qunzhi Zhou, Zhe Wu

Proceedings of the IEEE International Conference on Data Mining, 2025

AI Guided Accelerator For Search Experience.

Jayanth Yetukuri, Mehran Elyasi, Samarth Agrawal, Aritra Mandal, Shuang Zhou, Rui Kong, Harish Vempati, Ishita Kamal Khan

Proceedings of the ACM SIGIR Workshop on eCommerce 2025 co-located with the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), 2025

2024

A Survey on E-Commerce Learning to Rank.

Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal, Daniel Tunkelang, Zhe Wu

CoRR, 2024

2023

Semantic Equivalence of e-Commerce Queries.

Aritra Mandal, Daniel Tunkelang, Zhe Wu

CoRR, 2023

Enhancing Multilabel Classification of Anti-Vaccine Tweets with the COVID-Twitter-BERT.

Aritra Mandal

Proceedings of the Working Notes of FIRE 2023, 2023

2022

ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction.

Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal, Daniel Tunkelang, Zhe Wu

CoRR, 2022

Shoe Size Resolution in Search Queries and Product Listings using Knowledge Graphs.

Petar Ristoski, Aritra Mandal, Simon Becker, Anu Mandalam, Ethan Hart, Sanjika Hewavitharana, Zhe Wu, Qunzhi Zhou

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Leveraging Knowledge Graph and DeepNER to Improve UoM Handling in Search.

Qunzhi Zhou, Zhe Wu, Jon Degenhardt, Ethan Hart, Petar Ristoski, Aritra Mandal, Julie Netzloff, Anu Mandalam

Proceedings of the ISWC 2021 Posters, 2021

2020

Personalized Ranking in eCommerce Search.

Grigor Aslanyan, Aritra Mandal, Prathyusha Senthil Kumar, Amit Jaiswal, Manojkumar Rangasamy Kannadasan

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019

Query Rewriting using Automatic Synonym Extraction for E-commerce Search.

Aritra Mandal, Ishita K. Khan, Prathyusha Senthil Kumar

Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

Contextual Price Features for e-Commerce Search Ranking.

Ishita K. Khan, Aritra Mandal, Prathyusha Senthil Kumar

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

A distributed k-core decomposition algorithm on spark.

Aritra Mandal, Mohammad Al Hasan

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017