Patent attributes
A recommendation system can be configured to customize search results and/or recommendations of content (e.g., customized products, products, advertising, layouts, etc.) using online and/or offline activity captured on a user population. The system can be configured to customize the content returned to users to achieve specific behaviors and/or influence the current user's behavior, responsive to modeling previous users. For example, the system can capture and aggregate user behavior/activity and score content based on the actions taken with respect to the content. In some examples, the scoring can be filtered or augmented by matching current user characteristics to characteristics of the previous users. The scoring can be generated independent of the language in which the activity/user behavior occurred. According to one embodiment, the system is configured to generate language independent models and utilize the language independent modeling to deliver customized content (e.g., recommendations and/or search results) without conventional constraints.
