News Recommendation Engine for Pitchbook
Pitchbook enables client decision making by tapping into the power of data, available technology and market research, Pitchbook provides its clients with a News Feed section to provide current and consolidated news. However, the Company wanted to go a step further and provide customized news as opposed to several irrelevant articles that are surfaced in the News Feed. Our News recommendation engine allows us to affect more than 25,000 interactions a day on the Pitchbook platform by surfacing customized and relevant news articles using a combination of data science and topic modelling techniques
Project sponsored by: Pitchbook
Project participants:
Shreya Jain
MSIM
Soutik Chakraborty
MSIM
Abhishek Gupta
MSIM
Divya Kothari
MSIM