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1. requirements

2. pipeline

3. data collection

4. feature

5. model

ranking

point-wise learning to rank

  • task 2 users as input, output the probability of forming a friend

graph based prediction

  • graph level prediction

    • predict if a chemical compound us an enzyme

  • node level prediction

    • predict if a specific user is a spammer

  • edge level prediction

    • predict if two users likely to connect

6. evaluation

7. deployment and serving

reference

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