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My Recommendation? Recommendation Systems #51

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Kenneth-LJS opened this issue Mar 25, 2017 · 0 comments

Milestone

2017-C1 (week 12 ...

Kenneth-LJS commented Mar 25, 2017 •

edited

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Specialization: Machine Learning

Punch: You CAN please everyone.

WIIFY: I will show you how to please all your users.

Promise:

Why you should use recommendation systems.
Examples of recommendation systems
Things to take note before using them

Know:

Reasons to use recommendation systems
- Users see more content that they like
- Your platform will grow
- It is easy to use
Examples of recommendation algorithms
- Clustering
- User similarity
- Market basket analysis
Precautions
- Big data needed
- Long algorithm runtime
- Easy to be misused

Believe:

Recommendation systems are beneficial to your platform if used correctly.

Do:

You should find it easier to use recommendation systems appropriately in future projects

damithc modified the milestone: 2017-C1 (week 12 Thursday)

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