The disclosed embodiments relate to a system and method for providing recommendations on a multimedia device. The method includes labeling a sampling of content with associated features. The method further includes training a classifier based on the labels. The method also includes classifying a set of movies based on the movies' features. Additionally, the method includes mapping a classification space of the movies to a well-distributed space.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for a multimedia device, comprising: training a classifier based on a plurality of valence labels and a plurality of energy labels, wherein the valence labels and the energy labels are associated with a plurality of content, wherein the content is associated with a plurality of features; classifying a set of content based on the features; and mapping a classification space of the content to a well-distributed space. 2. The method of claim 1, wherein the valence labels comprise a range of values representing a tone of the content, from positive to negative, and wherein the energy labels comprise a range of values representing a pace of the content, from calm to energetic. 3. The method of claim 2, wherein mapping the classification space comprises maximum bipartite matching. 4. The method of claim 3, wherein the well-distributed space comprises a two-dimensional (2D) space. 5. The method of claim 3, wherein mapping the classification space of the content comprises generating a multidimensional grid, wherein each cell of the multidimensional grid comprises one content item, and wherein a position of the cell in the multidimensional grid represents an energy value and a valence value. 6. The method of claim 5, comprising, in response to a selection of a specific valence value, and a selection of a specific energy value, determining a presentation subset of the content based on the selected valence value and the selected energy value. 7. The method of claim 6, comprising presenting descriptions of content items in relative position to each other according to the multidimensional grid. 8. The method of claim 1, wherein the features comprise at least one genre of the content. 9. A multimedia device configured to: train a classifier based on a plurality of valence labels and a plurality of energy labels, wherein the valence labels and the energy labels are associated with a plurality of content, wherein the content is associated with a plurality of features; classify a set of content based on the classifier and the features; and map a classification space of the set of content to a well-distributed space. 10. The multimedia device of claim 9, wherein the valence labels comprise a range of values representing a tone of the content, from positive to negative, and wherein the energy labels comprise a range of values representing a pace of the content, from calm to energetic. 11. The multimedia device of claim 10, wherein the classification space is mapped with maximum bipartite matching. 12. The multimedia device of claim 11, wherein the well-distributed space comprises a two-dimensional (2D) space. 13. The multimedia device of claim 11, wherein the classification space of the content is mapped by generating a multidimensional grid, wherein each cell of the multidimensional grid comprises one content item, and wherein a position of the cell in the multidimensional grid represents an energy value and a valence value. 14. The multimedia device of claim 13, wherein, in response to a selection of a specific valence value, and a selection of a specific energy value, a presentation subset of the content is determined based on the specific valence value and the specific energy value. 15. The multimedia device of claim 14, wherein descriptions of content items are presented in relative position to each other according to the multidimensional grid.