Anthill Inside 2019

A conference on AI and Deep Learning

Non-Intent User Similarity for recommendation systems

Submitted by Gunjan Sharma (@gunjan-sharma) on Apr 25, 2019

Section: Full talk Technical level: Intermediate Status: Rejected

Abstract

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

Outline

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

Speaker bio

Gunjan Sharma
Architect InMobi

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