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Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)

About the Event

Final Standings:

We congratulate the winners for IBM Recommendation challenge. Final standings after thorough code review is as follows:

1. vishal.s.rao

2. aleksandr_dudnev

3. nixphix

4. pranavpawar3

5. kalpam

6.jean_m

6. chhavi21

7. maverick_vaibhav

Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)

There is a growing expectation from customers in the digital world to have a more personalized experience and business owners wanting to become more data driven so they can stay one step ahead of the competition and focus on what matters most:building their business.

IBM invites the Developers and Data Scientists to compete for this challenge of developing an optimized, high performing recommendation system for a retail organization who would like to provide a personalized shopping experience to stay ahead of the competition.

Business stakeholdersdon't care much on how fancy the algorithm is. They care more about how it can move the needle on their key business challenges.

Here is the opportunity to prove that Data Science is all about solving the real business problem not just models or algorithm alone. Are you ready to take up this challenge? Click on the register button to join this contest.

Prize:

  • 1st: INR 25000
  • 2nd: INR 15000
  • 3rd : INR 10000

Rules:

  • One person cannot participate with more than one user accounts.
  • You are free to use any open source tool and machine you have rightful access to.
  • You are free to use solution checker as many times as you want.

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Registration Details

3993

Total registered

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Number of teams

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Spaces You Can Join

Data Science

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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Generative AI

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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Data Engineering

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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Frequently Asked Questions

Find the answers for the most frequently asked questions

Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.

Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.

There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.

In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.

Depending on the type of competition, you can participate individually or in a team.

Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.

AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.

You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.

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