GS
Gunjan Sharma
@gunjan_sharma
Non-Intent User Similarity for recommendation systems
Submitted Apr 25, 2019
Section:
Full talk
Technical level:
Intermediate
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
Comments
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