Booking.com @ KDD 2023
Booking.com contributions at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining at Long Beach, CA, USA
Booking.com’s mission is to make it easier for everyone to experience the world. We invest in the technology that helps take the friction out of travel, and we seamlessly connect millions of travelers with memorable experiences, transportation options and incredible places to stay. To reach this goal, we personalize the experience for each of our customers that uses our products. We’re glad to announce that Booking.com is a sponsor of ACM SIG KDD 2023 in Long Beach, CA. Check out the work we do on Machine Learning and will be presented at the conference.
The Workshop on Applied Machine Learning Management
Workshop website — Aug 7th 2023, Dima Goldenberg, Chana Ross
Machine learning applications are rapidly adopted by industry leaders in any field. The growth of investment in AI-driven solutions created new challenges in managing Data Science and ML resources, people and projects as a whole. The discipline of managing applied machine learning teams, requires a healthy mix between agile product development tool-set and a long term research oriented mindset. The abilities of investing in deep research while at the same time connecting the outcomes to significant business results create a large knowledge based on management methods and best practices in the field. The Workshop on Applied Machine Learning Management brings together applied research managers from various fields to share methodologies and case-studies on management of ML teams, products, and projects, achieving business impact with advanced AI-methods.
Building and Leading a Team for Generative AI Product
Moran Beladev, Workshop on Applied ML management — Aug 7th, 2023
The advent of generative artificial intelligence (AI) has opened new possibilities for businesses to enhance customer interactions through conversational agents. Building a successful generative AI product requires assembling a team with diverse expertise and effective leadership to navigate the complex challenges associated with this cutting-edge technology.
This lecture focuses on the process of building and leading a team for developing a generative AI conversation bot specifically tailored for Booking.com, a leading online travel platform. It explores the key considerations involved in assembling a proficient team to deliver a high-quality conversational experience to customers. By combining technical expertise and domain knowledge, the team created an AI system that understands user queries and provides accurate and relevant responses, that maintain a consistent conversational style that aligns with Booking.com’s brand voice.
Leveraging Causal Uplift Modeling for Budget Constrained Benefits Allocation
Dima Goldenberg, Javier Albert — Workshop on Causal Inference and Machine Learning in Practice — Aug 7th, 2023
In the e-commerce industry, promotional offers such as discounts and rewards became a key driving force to encourage customers to complete purchases. However, these offers may also lead to monetary losses for businesses. Causal machine learning and optimization methods can be utilized to drive the allocation of promotions, while efficiently controlling spending within a given budget.
In this case study, we will share the promotion assignment techniques that our team at Booking.com has developed and implemented in real business setup. We will describe dedicated methods for uplift modeling under budget constrains while learning from limited data. By leveraging these techniques, we were able to estimate the effect of discount offers and allocate them in a real-time budget constrained setup, enabling us to unlock promotional campaigns while bringing more value to our customers and simultaneously growing our business.
