Commodity recommending method and commodity recommending system
The technical scheme not only guarantees recommending qualities, but also provides high-speed real-time recommending service, and has the advantages of being high in expandability, and suitable for different application contexts.
Abstract
The invention relates to a commodity recommending method and commodity recommending system. The method comprises obtaining sample training data based on browsing history of users and/or user attributes, and establishing an associated analysis model for the sample training data; generating associated data based on the associated analysis model; accepting commodity recommending requests, and obtaining user information based on the commodity recommending requests, recommending commodities associated with the user information to relevant portals based on the user information and the associated data, so that relevant portals can show commodities to users. The commodity recommending system comprises a modeling unit and a commodity recommending server. The technical scheme not only guarantees recommending qualities, but also provides high-speed real-time recommending service, and has the advantages of being high in expandability, and suitable for different application contexts.