Tuning Word2Vec with Bayesian Optimization: Applied to Music Recommendations

Hyperparameter Tuning

How we improved our recommendation system at Anghami

Providing personalized and engaging recommendation experiences remains a critical challenge in the ever-evolving landscape of recommender systems. While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance. Word2Vec, a widely-adopted NLP algorithm has proven to be an efficient and valuable tool that is now applied across multiple domains, including recommendation systems.

However, the effectiveness of Word2Vec …

algorithm bayesian bayesian-optimization challenge landscape language language processing machine learning music natural natural language natural language processing nlp optimization performance personalized photo processing recommendation recommendations recommendation-system recommender systems systems word2vec