Anthill Inside 2019

A conference on AI and Deep Learning



Gunjan Sharma


Non-Intent User Similarity for recommendation systems

Submitted Apr 25, 2019

In the world of Ad Business’s recommendation systems it is easier comparatively to recommend to user who have shown some intent. But what about the users who have not shown any intent? How do you target them? In this talk I will like to talk about a novel approach to use user similarity from supply data to work out significant recommendation for these users


Define the problem
Define non efficient solutions
Introduce the novel user similarity approach
Connect it to the original problem to show how it helps
Future work

Speaker bio

Gunjan Sharma
Architect InMobi


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Anthill Inside is a forum for conversations about risk mitigation and governance in Artificial Intelligence and Deep Learning. AI developers, researchers, startup founders, ethicists, and AI enthusiasts are encouraged to: more