The application provides a user
data sharing method for a furniture platform and related equipment. The method comprises the following steps: obtaining shared data in a specified furniture platform, determining furniture feature vectors of each furniture and user feature vectors of each user in the shared data, determining a set of approaching values of each user
feature vector according to all the furniture feature vectors, determining a degree of cooperation between two users according to each two sets of approaching values, determining a
hot start furniture decision domain of a target user according to all the degrees of cooperation, determining shared prediction values of each furniture in the
hot start furniture decision domain, and then determining adjustment coefficients of the target user for each furniture, adjusting furniture recommendation information of the target user according to the adjustment coefficients of the target user for each furniture, and sharing the adjusted furniture recommendation information to a
shared database of the furniture platform, so that personalized sharing recommendation of potential ordered furniture of the target user can be realized.