This research addresses the challenge users face in discovering board games that align with their preferences, particularly when those preferences are expressed descriptively in text. Traditional recommendation systems often struggle to capture the semantic nuances within natural language queries and effectively balance these with specific attribute criteria. To overcome this limitation, this s…