minh dq vng feed ranking
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RANKING USER ACTIVITIES ON ZING ME
R&D Group VNG Corporation
Presented by Dr. Nguyen Quoc MinhPrepared by Pham Dinh Quoc Hung
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Nội dung
Edge Rank
Introduction
Parameter Estimate
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3
2
Conclusion4
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What is a social activity?
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Why Ranking Activities?
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Observed Information
User’s self activity–Update status
–Write blogs
–Upload photos
User’s interaction–Comment, Like feed
–Post wall/Poke
–Tag friends
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Edge Rank Idea
A USERA USER
edge
edge
edge
Feed ItemFeed Item
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Approach
■ u: affinity
■ w: weight of action
■ d: time decay
■ k: attention decay
Exponential Function
Exponential Function
How to determine??
How to determine??
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Parameter Estimation
Theo số liệu của Google,Zing hiện là website đứng đầu Việt Nam về lượng người dùng lẫn lượt xem.
Key Fact:Không dừng lại!
Zing vẫn đang tiếp tục tăng trưởng từng ngày.
Affinity– User Interaction
●Comment, Like feed
●Post wall/Poke
●Tag friends
Weight of Action– Comment
– Like
– Tag
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User Interaction
Theo số liệu của Google,Zing hiện là website đứng đầu Việt Nam về lượng người dùng lẫn lượt xem.
Key Fact:Không dừng lại!
Zing vẫn đang tiếp tục tăng trưởng từng ngày.
Via ActionVia Action
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Action Score
Theo số liệu của Google,Zing hiện là website đứng đầu Việt Nam về lượng người dùng lẫn lượt xem.
Key Fact:Không dừng lại!
Zing vẫn đang tiếp tục tăng trưởng từng ngày.
δ: directness factorτ: strength valuef: function of time elapsed
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User Interaction-Affinity
■ f: user’s action frequency
Score
s
Scores
Scores
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Weight of Action
■ Feed Rank– Rank feed for each user in order of relevance and time– Estimate weight of action
●Feed Label: base on user’s actions, high importance assigned to feed with more user’s comments.
■ Machine learning to optimize weights– Rank feeds based on feeds’ features ( comments,
likes, ...)– Estimate weights based on feeds’ label.
●Feed Label: Highly relevant, relevant, ...
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Experiments
Theo số liệu của Google,Zing hiện là website đứng đầu Việt Nam về lượng người dùng lẫn lượt xem.
Key Fact:Không dừng lại!
Zing vẫn đang tiếp tục tăng trưởng từng ngày.
Data collected to train a machine learning model– Train
●~4000 users
●~5000000 feeds
●From 01/08/2010 to 01/12/2010
– Validation:
●~3000 users
●~1000000 feeds
●From 01/01/2011 to 01/02/2011
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Conclusion
Theo số liệu của Google,Zing hiện là website đứng đầu Việt Nam về lượng người dùng lẫn lượt xem.
Key Fact:Không dừng lại!
Zing vẫn đang tiếp tục tăng trưởng từng ngày.
Affinity of users is the most important part of the model
Temporal dynamics of user’s attention
Future features:– User’s Rank (ZingRank)
●Incorperate user rank to model
– Personalized parameters for each user
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Deployment
Theo số liệu của Google,Zing hiện là website đứng đầu Việt Nam về lượng người dùng lẫn lượt xem.
Key Fact:Không dừng lại!
Zing vẫn đang tiếp tục tăng trưởng từng ngày.
Serve more than 7m Zingme usersReal-time ranking feeds for userPeak time: > 100 actions/sAverage: ~30 actions/s
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THANK YOU!