Recommendation method and recommendation device for intelligent hardware commodities
A technology of intelligent hardware and recommendation methods, applied in the Internet field, can solve the problems of inability to accurately predict the potential needs of users, fail to reflect the potential needs of users, and the low success rate of product recommendation, so as to facilitate reference, increase possibilities, and facilitate purchases The effect of the operation
Inactive Publication Date: 2015-04-08
XIAOMI INC
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Since the needs of each user are different, the products recommended by the e-commerce platform for each user are also different; however, the independence of the products recommended by the e-commerce platform for each user makes the products recommended by the e-commerce platform for users not reflect the interaction between users. The potential demand between users, because the e-commerce platform cannot accurately predict the potential demand among users, resulting in a low success rate of product recommendation
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[0069] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.
[0070] The intelligent hardware devices described in the embodiments of the present disclosure can communicate with terminal devices (terminal devices such as smart phones or tablet computers) through wired or wireless communication interfaces. The intelligent hardware devices are, for example, smart lighting lamps, Smart coffee stoves, computer equipment, smart cameras, smart purifiers, smart w...
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The invention discloses a recommendation method and a recommendation device for intelligent hardware commodities, aiming to increase success rate of recommending the intelligent hardware commodities to users. The method includes: determining a member list of a first user; determining recorded information, related to the intelligent hardware commodities, of users in the member list on intelligent hardware application programs or browsers, wherein the intelligent hardware application programs are installed on terminal equipment; recommending the intelligent hardware commodities related to the recorded information to the users in the member list. The recommendation method and the recommendation device have the advantages that potential demands of the whole family of the first user for the intelligent hardware commodities can be determined, and the intelligent hardware commodities can be recommended to the users in the member list according to the recorded information, so that the success rate of recommending the intelligent hardware commodities to the users can be increased, and pertinence of the recommended intelligent hardware commodities can be higher to the users.
Description
technical field [0001] The present disclosure relates to the field of Internet technologies, and in particular to a method and device for recommending smart hardware products. Background technique [0002] Commodity recommendation is a common way for e-commerce platforms to promote commodities to consumers. Commodity recommendation in related technologies recommends commodities that may be of interest to users through browsing records or purchase records of users. Since the needs of each user are different, the products recommended by the e-commerce platform for each user are also different; however, the independence of the products recommended by the e-commerce platform for each user makes the products recommended by the e-commerce platform for users not reflect the interaction between users. Because the e-commerce platform cannot accurately predict the potential demand among users, the success rate of product recommendation is low. Contents of the invention [0003] In ...
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IPC IPC(8): G06Q30/02
Inventor 陈昌兵王元波侯恩星
Owner XIAOMI INC