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Megan Howard
17 days ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
David Klein
19 days ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Camille Bernard
20 days ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
Zuzanna Wójcik
22 days ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Lucas Rodrigues
22 days ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Carlos García
23 days ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
Lucas Rodrigues
25 days ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Stephanie Price
29 days ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Camille Bernard
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
Liam Murphy
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Yui Ito
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Tyler Richardson
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Catarina Pereira
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Dmitri Volkov
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
Santiago Ortiz
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Hiroshi Yamamoto
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
João Santos
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
Soo-Min Jung
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Santiago Ortiz
1 month ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Dmitri Volkov
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
James Davis
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
João Santos
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
Sofia Marino
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Julia Fischer
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! #machinelearning #recommender #ai
David Klein
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Wei Wang
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Megan Howard
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Liam Murphy
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Catarina Pereira
2 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization
Stephanie Price
3 months ago
Trained a recommendation system using collaborative filtering. User engagement up 35%! Combined with content-based filtering for cold start problem. A/B tested for 2 weeks before full rollout. The 'Recommended for You' section now drives 25% of all purchases. Data-driven personalization works! #machinelearning #recommender #ai #personalization

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