SYSTEMS AND METHODS FOR IMPROVING ACCURACY IN MEDIA ASSET RECOMMENDATION MODELS

摘要

Methods and systems for determining an error value based on comparing an expected media asset similarity value corresponding to a first media asset and a second media asset, as determined using a model, to a media asset similarity value determined from user preference information associated with multiple data spaces. User preference information is received from two data spaces that are managed by different content providers. User preference information from the two data spaces is normalized and an indication of similarity between two media assets is determined. The indication of similarity is compared to an expected similarity value received from a model and an error value is determined based on the comparison of the expected similarity value and the similarity value.

主权项

1. A method for determining an error value based on comparing an expected media asset similarity value corresponding to a first media asset and a second media asset, as determined using a model, to a media asset similarity value determined from user preference information associated with multiple data spaces, the method comprising:
receiving first preference information of a first plurality of users, wherein the first preference information is associated with a first data space and describes preferences of the first plurality of users with respect to a first plurality of media assets; receiving second preference information, wherein: the second preference information is associated with a second data space, describes preferences of a second plurality of users with respect to a second plurality of media assets, and is computed using a different metric than a metric that the first preference information is computed using, and wherein the second data space is managed by a content provider that does not manage the first data space; normalizing the first preference information and the second preference information such that both the first preference information and the second preference information are converted to a scheme on which a common metric may be applied; determining, using the normalized first preference information and the normalized second preference information, an indication of similarity between a first media asset and a second media asset, wherein the first preference information and the second preference information each comprise preference data corresponding to the first media asset and the second media asset; comparing the indication of similarity to the expected media asset similarity value; and determining an error value based on the comparing.