activity
20192022
most citedForecasting Granular Audience Size for Online Advertising

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

B2B Advertising: Joint Dynamic Scoring of Account and Users

Atanu R. Sinha, Gautam Choudhary, Mansi Agarwal +3

When a business sells to another business (B2B), the buying business is represented by a group of individuals, termed account, who collectively decide whether to buy. The seller ad…

cs.AI20201 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.LG20201 cited

An RNN-Survival Model to Decide Email Send Times

Harvineet Singh, Moumita Sinha, Atanu R. Sinha +2

Email communications are ubiquitous. Firms control send times of emails and thereby the instants at which emails reach recipients (it is assumed email is received instantaneously f…

cs.AI20201 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.AI20192 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…