Case Study: Large Home Sharing Website Company boosts personalized recommendations and growth with Crossing Minds

Large Home Sharing Website Company - Customer Case Study

Large Home Sharing Website Company partnered with Crossing Minds to improve recommendations across its home sharing platform, where users browse by filters but see largely non-personalized results. The company faced extreme data sparsity, increasing competition, and the challenge of extending personalization across multiple product lines, including stays, experiences, and restaurants.

Crossing Minds implemented machine learning embedding-based recommendations, cross-domain personalization, and group recommendations to better match users’ tastes, help surface new offerings, and support shared travel planning. The solution was designed to increase recommendation quality, conversion, and organic growth, while keeping user and item data de-identified and secure. The case study reports higher-quality recommendations and improved conversion, plus a more differentiated product experience through group recommendations.