PERSONALIZED GUIDANCE AND RECOMMENDATION BASED ON MULTI-VARIABLE USER ATTRIBUTES AND MULTI-DIMENSIONAL SCHEMA

摘要

The present disclosure provides a system and method that recommends content to a user based on a compatibility between the user's interest and attributes of the content providers. Multiple contents may be aggregated based on the compatibility among the contents created by various user groups with varying intents or objectives. The present invention provides a search method where the system searches a database to gather information based on user interests and content attributes. A customization of search results are applied multi-dimensionally to customize the search result based on user interest and content compatibility. As such, the search results are personalized to meet the user's search objective.