Abstract: Techniques are described for generating search results and content recommendations using a distance metric on a space of media titles. In one embodiment, each media title may be associated with metadata tags and represented by a vector which indicates those associated tags. The distance metric may measure distance as an angle between vectors representing media titles in a bent vector space that accounts for correlations between tags. Further, a non-linear scaling may be applied to the vectors representing media titles to correct for under-tagging and redundant tagging. Based on the distance metric, a search or recommendation application may generate search results and/or content recommendations and cause the same to be presented to a user.

Abstract: Techniques for selecting and ordering groups of titles to present as recommendations. In one embodiment, for example, a method performed by one or more computing devices of an online services comprises selecting, for each of a plurality of row positions, a group of titles to fill the row position based at least in part on a relevance score computed for the group of titles. The relevance score is based at least in part on a personalized ranking for a particular user of titles in the groups in titles selected to fill the row positions. The groups of titles selected to fill to the row positions are presented as recommendations to the particular user as a sequence of rows in which each row in the sequence corresponds to one of the selected groups of titles.

Abstract: Techniques for selecting and ordering groups of titles to present as recommendations. In one embodiment, for example, a method performed by one or more computing devices of an online services comprises selecting, for each of a plurality of row positions, a group of titles to fill the row position based at least in part on a relevance score computed for the group of titles. The relevance score is based at least in part on a personalized ranking for a particular user of titles in the groups in titles selected to fill the row positions. The groups of titles selected to fill to the row positions are presented as recommendations to the particular user as a sequence of rows in which each row in the sequence corresponds to one of the selected groups of titles.

Abstract: Techniques for selecting and ordering groups of titles to present as recommendations. In one embodiment, for example, a method performed by one or more computing devices of an online services comprises selecting, for each of a plurality of row positions, a group of titles to fill the row position based at least in part on a relevance score computed for the group of titles. The relevance score is based at least in part on a personalized ranking for a particular user of titles in the groups in titles selected to fill the row positions. The groups of titles selected to fill to the row positions are presented as recommendations to the particular user as a sequence of rows in which each row in the sequence corresponds to one of the selected groups of titles.

Abstract: Techniques for selecting and ordering groups of titles to present as recommendations. In one embodiment, for example, a method performed by one or more computing devices of an online services comprises selecting, for each of a plurality of row positions, a group of titles to fill the row position based at least in part on a relevance score computed for the group of titles. The relevance score is based at least in part on a personalized ranking for a particular user of titles in the groups in titles selected to fill the row positions. The groups of titles selected to fill to the row positions are presented as recommendations to the particular user as a sequence of rows in which each row in the sequence corresponds to one of the selected groups of titles.

Abstract: Techniques are described for generating search results and content recommendations using a distance metric on a space of media titles. In one embodiment, each media title may be associated with metadata tags and represented by a vector which indicates those associated tags. The distance metric may measure distance as an angle between vectors representing media titles in a bent vector space that accounts for correlations between tags. Further, a non-linear scaling may be applied to the vectors representing media titles to correct for under-tagging and redundant tagging. Based on the distance metric, a search or recommendation application may generate search results and/or content recommendations and cause the same to be presented to a user.