Global AI Challenge Recruitment & Promotion
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Global AI Challenge Recruitment & Promotion
2019 Event Review ：
Gathering algorithm talents, Exploring data potential
146 days 1475 3300 万+ 6
Contest Schedule Teams Impression University Lecture Tour
690,000 15 60 92%
Bonus Famous Experts from 10 Talents Coverage of Key Colleges
Top Universities
2020 D I G I X GLOBAL AI CHALLENGE
Stimulating algorithm innovation
Jiangsu Association of HUAWEI Consumer Cloud
Artificial Intelligence (JSAI) Service Department
HUAWEI Nanjing Research Promote production, learning and
Center.
research
Academic Industrialization
Professional Open
Co-Organizer: Build AI talent environment
Huawei European Research Institute, Russian
Research Institute, India Research Center, St.
Petersburg Research Center， Turkey Research
Center, Finland Research Center, and Netherlands
Research Center.
Ecology Co-Construction
Selection Schedule
Machine
Team / Player
Learning Identity Audition N To Top 15 Top 15
Top 15
Registration Preliminary Elite Final Contest
30
Winning
Teams
Computer
Team / Player
Vision Identity Audition
N To Top 15 Top 15
Top 15
Registration Preliminary Elite Final Contest
Schedule: Step by step ， Try hard for AI
Preliminary
Global AI Challenge Opening Registration Review & Shortlisted
Ceremony & Preliminary Selection Teams Awards
Bonus
07. 08 09.20 ∣ 09.21 09.28∣09.29 10.08 At the end of October
Elite Final
Preliminary
2 0 2 0 D I G I X GLOBAL AI CHALLENGE
Two phases selection method
Phase 1
Preliminary Online contest (automatic scoring + expert evaluation)
Phase 2
Closed field contest (online contest + on-site presentation)
Elite Final
Alternative: online contest and remote video presentation
2020 D I G I X GLOBAL AI CHALLENGE
Two battlefields of the two phases
Competition Track A：Machine Learning Competition Track B：Computer Vision
Advertisement Search Ranking Digital Device Image
CTR Prediction Prediction Retrieval
Advertisement CTR prediction is at the core of any Search ranking is the system for ranking selected documents
Accurate image retrieval is a core technology for shopping by
advertising campaign. Increasing the accuracy of by the given query-document correlation and displaying the
picture taking, and also becomes a hotspot in the academia and
predictions is critical to improving the effectiveness of result for users, which is a major challenge for search
industry.
advertising. engines. Increasing the accuracy of rankings is critical to
This proposal provides a training dataset, including coarse-
To help contestants better and more comprehensively improving the search experience of mobile users.
grained images of digital devices, such as mobile phones, smart
predict user engagement with advertising (that is, click This proposal provides contestants with training data for
wearables, PCs, tablets, speakers, and routers, as well as fine-
probability), this proposal provides anonymous data building ranking models in a content search scenario,
grained images (for example, images of mobile phones with
with more than 40 fields that encompass the full range including the correlation tag, query ID, document ID, and a
different appearance) to complete a digital device image
of user behavior data (including the resident city, active total of approximately 100 features across six categories:
retrieval task in a real snap-to-shop scenario. That is, algorithms
time by mobile phone, and time at which a behavior network graph (including the PageRank indicator), query
can be used to find a digital device image in the gallery and
occurs), basic ad task attributes (including the creative (including the number of core words and search intention),
return it based on the given query image of the device.
type, asset display form, and advertiser ID), and basic text matching (including the BM25 score and tightness
Contestants are required to build and submit models based on
user information (including the age, gender, and device feature), document (including the content length, title
the given dataset. The results are then evaluated, according to
information) in a real paid ad display. Contestants are length, and URL length), web classification (including the
their top-1 accuracy and mAP@10. This proposal aims to find
required to use algorithms to build CTR prediction webpage category, and whether a page is the home page),
talented individuals to improve image retrieval algorithms.
models based on the given training data, and submit and time (including the page publishing time). Contestants
works based on the given test data set. Area Under are required to build ranking models based on the given
Curve (AUC) is adopted to evaluate the works. training data, and submit works based on the given test data
set. Expected Reciprocal Rank (ERR) is adopted to evaluate
the works.
2 0 2 0 D I G I X GLOBAL AI CHALLENGE
Contest Rules - Preliminary
Online Competition Competition Track A
Expert Review A/B Stage Real-time
Ranking
• Two compulsory proposals
• Online works
• Weights of 80% for
submission • AB Stages
Advertisement CTR Prediction,
• Real time ranking
Competition Track A • Cheating 20% for Search Ranking • Global leaderboard
of Stage A
• Up to 4 submissions Check in real time
per day • Creative Competition Track B • Final result of
• Each weighted at 50% Stage B
Competition Track B Review
for top-1 accuracy and
• Up to 4 submissions per mAP@10
day2 0 2 0 D I G I X GLOBAL AI CHALLENGE
Contest Rules – Elite Final
Online Expert Review Contest A/B Stage Closed
Competition Proposals competition
• Global live • AB Stages • Three-day closed
Competition Track A • 50% online ranking
broadcast • Real time ranking of competition
• Up to 6 submissions per day • 50% presentation
• On-site Stage A • Top competition
Competition Track B & experts review
presentation • Final result of Stage B environment
• Up to 6 submissions per day
Note：The Elite Final Stage plans are subject to change, and changes will be announced later.2 0 2 0 D I G I X GLOBAL AI CHALLENGE
First Prize （One Team）30,000 USD
Machine Learning
Second Prize Third Prize Honorable Mention
Top 15
Awards （One Team） （One Team） （12 Teams）
15,000 USD 10,000 USD 2000 USD
First Prize（One Team） 30,000 USD
Computer Vision
Top 15
Second Prize Third Prize Honorable Mention
Awards
（One Team） （One Team） （12 Teams）
15,000 USD 10,000 USD 2000 USDTHANK YOU
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