PROACTIVE FAVORITE LEISURE INTEREST IDENTIFICATION FOR PERSONALIZED EXPERIENCES

摘要

Personalized experiences based on leisure interest identification are provided to a user. An enriched entity and attribute graph is created based on leisure entities or attributes extracted from digital data signals. The user data signals may include browser history, queries in searches, social media signals, or click data. Global data is utilized to crawl the enriched entity and attribute graph to infer entities or attributes. Based on the inferred entities or attributes, leisure suggestions can be ranked and provided to the user via a user device. Completion suggestions may additionally be provided to the user via the user device that enable the user to complete an activity associated with one or more of the leisure suggestions.