activity
20192026
most citedDataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation

13 citations · 24 across the 16 of their papers we have counts for

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Showing cs.AIShow all

6 papers · 1 filter

cs.AI2025★ 1 cited

Agentic Enterprise: AI-Centric User to User-Centric AI

Arpit Narechania, Alex Endert, Atanu R Sinha

After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - pers…

cs.AI2024★ 1 cited

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint

Harshita Chopra, Atanu R. Sinha, Sunav Choudhary +5

Users' behavioral footprints online enable firms to discover behavior-based user segments (or, segments) and deliver segment specific messages to users. Following the discovery of…

cs.AI2022★ 1 cited

Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases

Atanu R Sinha, Navita Goyal, Sunny Dhamnani +4

Cognitive biases are mental shortcuts humans use in dealing with information and the environment, and which result in biased actions and behaviors (or, actions), unbeknownst to the…

cs.AI2020★ 1 cited

Surveys without Questions: A Reinforcement Learning Approach

Atanu R Sinha, Deepali Jain, Nikhil Sheoran +2

The 'old world' instrument, survey, remains a tool of choice for firms to obtain ratings of satisfaction and experience that customers realize while interacting online with firms.…

cs.AI2020★ 1 cited

Uncovering Relations for Marketing Knowledge Representation

Somak Aditya, Atanu Sinha

Online behaviors of consumers and marketers generate massive marketing data, which ever more sophisticated models attempt to turn into insights and aid decisions by marketers. Yet,…

cs.AI2019★ 2 cited

Forecasting Granular Audience Size for Online Advertising

Ritwik Sinha, Dhruv Singal, Pranav Maneriker +4

Orchestration of campaigns for online display advertising requires marketers to forecast audience size at the granularity of specific attributes of web traffic, characterized by th…