"Users want to be inspired and guided in their discovery journey," says Dr. Kevin Kahn, CEO. This highlights the importance of personalisation in enhancing user engagement.
"Most recommendation systems react to user intent, but this approach falls short in a world where catalogs and user interests evolve rapidly. To make things worse, traditional technologies over-focus on popular items, leaving most catalogs undiscovered and leading to user fatigue." This emphasizes the limitations of traditional recommendation systems.
"Our platform ensures fresh recommendations, dynamically matching users with the right products and at the right time," adds Kahn. This underscores Albatross's commitment to real-time personalisation.
"The platform replaces manual A/B testing with automated, real-time optimisation powered by deep learning, multi-armed bandits (MABs), and reinforcement learning." This illustrates the advanced technology Albatross employs for user engagement.
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