ShusenTang/BDC2019

2019中国高校计算机大赛——大数据挑战赛 第三名解决方案

46
/ 100
Emerging

Implements a query-document relevance prediction system combining short-text matching and click-through rate estimation on hashed token sequences. The solution employs feature engineering on anonymized query-title pairs and ensemble learning methods to predict click probability, evaluated against online test data using standard CTR metrics.

122 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

122

Forks

25

Language

Jupyter Notebook

License

MIT

Category

data-science-competition-wins

Last pushed

Feb 16, 2020

Commits (30d)

0

GitHub
Data Science Competition Wins · 43 frameworks

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