Search Results for author: Atanu R. Sinha

Found 4 papers, 0 papers with code

B2B Advertising: Joint Dynamic Scoring of Account and Users

no code implementations28 Sep 2022 Atanu R. Sinha, Gautam Choudhary, Mansi Agarwal, Shivansh Bindal, Abhishek Pande, Camille Girabawe

There is heterogeneity among individuals belonging to an account in seeking information and hence the seller needs to score the interest of each individual over a long horizon to decide which individuals must be reached and when.

Decision Making

Surveys without Questions: A Reinforcement Learning Approach

no code implementations11 Jun 2020 Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan

To overcome these deficiencies we extract proxy ratings from clickstream data, typically collected for every customer's online interactions, by developing an approach based on Reinforcement Learning (RL).

reinforcement-learning reinforcement Learning

An RNN-Survival Model to Decide Email Send Times

no code implementations21 Apr 2020 Harvineet Singh, Moumita Sinha, Atanu R. Sinha, Sahil Garg, Neha Banerjee

We posit that emails are likely to be opened sooner when send times are convenient for recipients, while for other send times, emails can get ignored.

Survival Analysis

Forecasting Granular Audience Size for Online Advertising

no code implementations8 Jan 2019 Ritwik Sinha, Dhruv Singal, Pranav Maneriker, Kushal Chawla, Yash Shrivastava, Deepak Pai, Atanu R. Sinha

Orchestration of campaigns for online display advertising requires marketers to forecast audience size at the granularity of specific attributes of web traffic, characterized by the categorical nature of all attributes (e. g. {US, Chrome, Mobile}).

Time Series Time Series Analysis

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