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.

A plurality of music samples and a plurality of images corresponding to the music samples may be stored in a database. The plurality of music samples may be sorted in an order of priority. Information associated with the plurality music samples may be sent to a user device. The user device may display the plurality of images corresponding to the plurality of music samples in the order of priority. The user device may receive information indicative of at least one video associated with a music sample in response to receiving user input indicative of a selection of an image among the plurality of images. The user device may display at least one sample video image corresponding to the at least one video associated with the music sample.

A plurality of music samples and a plurality of images corresponding to the music samples may be stored in a database. The plurality of music samples may be sorted in an order of priority. Information associated with the plurality music samples may be sent to a user device. The user device may display the plurality of images corresponding to the plurality of music samples in the order of priority. The user device may receive information indicative of at least one video associated with a music sample in response to receiving user input indicative of a selection of an image among the plurality of images. The user device may display at least one sample video image corresponding to the at least one video associated with the music sample.

A data structure embodied on a computer-readable medium is disclosed. The data structure may include a database schema for arranging a competition among associated users in a structured query language (SQL) database. The database schema may include a grouping schema and a competition schema. The grouping schema may identify one or more associated contestants. The grouping schema may receive one or more inputs from a host contestant to identify and associate the one or more associated contestants. The competition schema may include a plurality of contests. Each contest may have relational data tables configured to receive selections of songs, albums, and/or artists from the contestants, and reward points based on those selections. The points may be rewarded to each contestant based on their corresponding selections. The sum of the points for each contestant may be accumulated to determine a score. The points may be rewarded based on one or more activity tracking parameters. The database schema may also employ an application. The application may provide access to the plurality of selections and scores in the SQL database. The application may also manage the contestants, the plurality of selections, the one or more activity tracking parameter and the scores for each of the contestant.

A data structure embodied on a computer-readable medium is disclosed. The data structure may include a database schema for arranging a competition among associated users in a structured query language (SQL) database. The database schema may include a grouping schema and a competition schema. The grouping schema may identify one or more associated contestants. The grouping schema may receive one or more inputs from a host contestant to identify and associate the one or more associated contestants. The competition schema may include a plurality of contests. Each contest may have relational data tables configured to receive selections of songs, albums, and/or artists from the contestants, and reward points based on those selections. The points may be rewarded to each contestant based on their corresponding selections. The sum of the points for each contestant may be accumulated to determine a score. The points may be rewarded based on one or more activity tracking parameters. The database schema may also employ an application. The application may provide access to the plurality of selections and scores in the SQL database. The application may also manage the contestants, the plurality of selections, the one or more activity tracking parameter and the scores for each of the contestant.

Examples described herein relate to facilitating media item access via a media item database. For instance, a playlist may include audio tracks of a first streaming service (e.g., as uniform resource identifiers linking to streamable audio tracks). When a subscription to the first streaming service is not active, the playlist may be unplayable by a media playback system including a playback device. To play the playlist, a computing system may convert the playlist to audio tracks of a second streaming service and then send the converted playlist back to the media playback system for playback.

The present invention relates to a lifelog device utilizing audio recognition and a method therefor, and to a device capable of recording and classifying audio lifelogs by means of an artificial intelligence algorithm. To this end, the lifelog device of the present invention comprises: an input unit for inputting lifelog data including an audio signal; and analysis unit for analyzing the inputted data; a determination unit for classifying the class of the data on the basis of the analyzed analysis value; and a recording unit for recording the inputted data and the classified class of the data.

The present invention relates to a lifelog device utilizing audio recognition and a method therefor, and to a device capable of recording and classifying audio lifelogs by means of an artificial intelligence algorithm. To this end, the lifelog device of the present invention comprises: an input unit for inputting lifelog data including an audio signal; and analysis unit for analyzing the inputted data; a determination unit for classifying the class of the data on the basis of the analyzed analysis value; and a recording unit for recording the inputted data and the classified class of the data.

An audio matching technique generates audio fingerprints from a captured audio signal. Coarse and Fine fingerprints are generated from the captured audio. The coarse fingerprint is used to match with a set of coarse fingerprints stored in a database to identify a subset of possibly matching database entries. The fine fingerprint is then used to perform a detailed comparison with fine fingerprints associated with the subset of possibly matching database entries in order to find a match for the captured audio signal.

An audio matching technique generates audio fingerprints from a captured audio signal. Coarse and Fine fingerprints are generated from the captured audio. The coarse fingerprint is used to match with a set of coarse fingerprints stored in a database to identify a subset of possibly matching database entries. The fine fingerprint is then used to perform a detailed comparison with fine fingerprints associated with the subset of possibly matching database entries in order to find a match for the captured audio signal.