Developing a match-making algorithm between customers and Go-Jek products!
20+ products. Millions of active customers. Insane amount of data and complex domain. Come join me in this talk to know the journey we at Gojek took to predict which of our products a user is most likely to use next.
A major problem we faced, as a company, was targeting our customers with promos and vouchers that were relevant to them. We developed a generalized model that takes into account the transaction history of users and gives a ranked list of our services that they are most likely to use next. From here on, we are able to determine the vouchers that we can target these customers with.
In this talk, I will be talking about how we used recommendation engines to solve this problem, the challenges we faced during the time and the impact it had on our conversion rates. I will also be talking about the different iterations we went through and how our problem statement evolved as we were solving the problem.
Outline/Structure of the Talk
- Introduction to me and GoJek: 1 Min
- What is customer targeting? : 1 Min
- Defining the problem statement: 3 Min
- Iterations to solve the problem:
- Iteration 1: Classification: 2 Min
- Iteration 2: Recommendation Systems: 4 Min
- What is a recommendation system?
- How does it fit into our problem?
- Brief detail about different ways to build a recommendation engine
- Challenges Faced: 5 Min
- Choosing between algorithms. KNN vs Matric Factorisation.
- Choosing the Optimisation Technique for Matrix Factorisation. SVD vs ALS
- Dealing with the huge size of the utility matrix and Reducing training time
- Dealing with implicit data. Converting implicit data into explicit data
- Workflow: 1 Min
- Impact and Results: 1 Min
- QnA. : 2 Min
1. Learn how to apply recommendation systems to customer targeting problems.
2. Experience the vastness of data we have at Go-Jek and how we deal with the scale.
Data Scientists, Product Managers
Prerequisites for Attendees
Basic knowledge about Data Science and Machine Learning algorithms is required.
schedule Submitted 2 years ago
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