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Network Engagement
Roadmap - Network Engagement
1.1
3
Introduction of people affinity cohort based on all connections
Execution
Shalini
Network engagement
P0
People Affinity
Introduction of new people based post features (stream, cohort, engaged in x time period) - optimises for people interaction in feed algo
Execution
Shalini
Network engagement
P1
Feature Engg
Introduction of new post features (auto OM type, tag affinity) - optimises for content interaction in feed algo
Execution
Shalini
Network engagement
P0
Feature Engg
1.2
1
Improve training and refresh frequency
Execution
Shalini
Network engagement
P0
People Affinity
May get deprioritised
2.1
3
Introduction of DS model optimising for profile view
Solutioning
Shalini
Network engagement
P0
Objective Function
Design heavy
Android heavy
Rolling out Shuffling layer to 100% users - with network supply < 50
Solutioning
Shalini
Network engagement
P0
Feed algo
Separate stream for people affinity. Last 15 days posts sorted by people affinity score.
Solutioning
Shalini
Network engagement
P0
2.2
3
Introduction of DS model optimising for post detail open
Yet to start
Shalini
Network engagement
P1
Objective Function
Intoduction of different pseudo-network cohorts
Solutioning
Shalini
Network engagement
P1
Pseudo-network
Introduction of differential weighting in model merging logic
Yet to start
Shalini
Network engagement
P2
Model Merging
3.1
2
AutoOM redesign
Yet to start
Shalini
Network engagement
Improvements in people affinity stream
Solutioning
Shalini
Network engagement
3.2
1
Include profile view graph in people affinity
Yet to start
Shalini
Network engagement
P2
People Affinity
3
Introduction of new post features (tag affinity score) - optimises for content interaction in feed algo
Yet to start
Shalini
Network engagement
P1
Feature Engg
Addition of people affinity scores as features prioritization
Yet to start
Shalini
Network engagement
P1
Feature Engg
Merging logic experiments for addition of multiple models
Yet to start
Shalini
Network engagement
P0
Model Merging
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