Alibaba Group Holding Limited
METHOD AND SYSTEM FOR CONTENT RECOMMENDATION

Abstract:

One embodiment provides a method and system for recommending content to users. During operation, the system can select a content piece from a content library and extract, by a computer using a natural language processing (NLP) technique, one or more keywords from the content piece. The system can determine a domain associated with the content piece based on the extracted keywords and obtain domain knowledge of the determined domain. The system can generate a feature tag for the content piece based on the extracted keywords and the obtained domain knowledge, and generate an attribute tag for a user based on historical data associated with the user. The system can then recommend one or more content pieces from the content library to the user based on feature tags associated with the one or more content pieces and the attribute tag for the user.