Abstract: A plurality of music playlists created on a content sharing platform and having rankings are identified. A plurality of popular external search queries submitted via one or more search engine platforms external to the content sharing platform are identified. A subset of the plurality of music playlists that matches any of the plurality of popular external search queries is determined, and rankings of the determined subset of music playlists are improved. The personalized music recommendations for the user are created based on rankings of the plurality of music playlists, and the personalized music recommendations are provided for presentation to the user.

Abstract: A plurality of music playlists created on a content sharing platform and having rankings are identified. A plurality of popular external search queries submitted via one or more search engine platforms external to the content sharing platform are identified. A subset of the plurality of music playlists that matches any of the plurality of popular external search queries is determined, and rankings of the determined subset of music playlists are improved. The personalized music recommendations for the user are created based on rankings of the plurality of music playlists, and the personalized music recommendations are provided for presentation to the user.

Abstract: A plurality of entities relating to popular search queries are identified. A set of entities representing musical artists or events is selected from the plurality of entities. Based on a history of online actions of a user, a subset of the selected set of entities that is relevant to the user is determined, and personalized music recommendations are created for the user, where the personalized music recommendations comprise music content associated with the determined subset of entities that each represent a musical artist or event relating to the popular search queries. The personalized music recommendations are provided for presentation to the user.

Abstract: A plurality of entities relating to popular search queries are identified. A set of entities representing musical artists or events is selected from the plurality of entities. Based on a history of online actions of a user, a subset of the selected set of entities that is relevant to the user is determined, and personalized music recommendations are created for the user, where the personalized music recommendations comprise music content associated with the determined subset of entities that each represent a musical artist or event relating to the popular search queries. The personalized music recommendations are provided for presentation to the user.