A social user recommendation method combining a big data platform and a brand car model

Abstract

A social user recommendation method combining a big data platform and a brand vehicle type is characterized by: after detecting that a first social user completes attention to a certain brand vehicletype, detecting user attributes of a first social user reported by the first social user and a first comment on the brand vehicle typ; querying a second social user who is not a friend of the first social user from a collection of social users who have focused on the brand vehicle model, the user attributes of the second social user being matched with the user attributes of the first social user;comparing the first comment with the second comment on the brand model reported by the second social user, if they are similar, sending recommendation information at least including the correspondingsocial account number of the second social user, the user attributes of the second social user and the second comment to the first social user to enable the first social user to effectively find outother social users who have similar views with the brand car model concerned by the first social user, so as to facilitate in-depth understanding of the word-of-mouth of the brand car model concernedby the first social user.

Description

technical field [0001] The invention relates to the field of social technology, in particular to a social user recommendation method combining a big data platform and a brand model. Background technique [0002] At present, social users can log in to automobile websites (such as car shopping guide websites) provided by the Internet through social accounts (such as QQ accounts), and after social users log in to automobile websites provided by the Internet through social accounts, social users can use their social accounts on automobile websites. Pay attention to a certain brand model (such as BMW X6) that you are interested in. [0003] In practice, it is found that social users sometimes want to communicate with other social users who have similar views on the brand models they follow, so that they can have a deeper understanding of the word-of-mouth of the brand models they follow. However, in the prior art, it is difficult for social users to effectively find other soci...

AI Technical Summary

Problems solved by technology

However, in the existing technology, it is difficult for social users to effectively find other social users who have similar views with the brand models they follow to communicate with.

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