Abstract: 【Purpose/significance】The problem of "information overload" is not conducive to users quickly and accurately obtaining target information. This paper proposes to construct a social media genetic map and apply it to the information recommendation field to provide new ideas for user information recommendation.【Method/process】This paper decomposes social media into two main parts: so⁃cial media users and social information content. With the concept of biological gene mapping, two major gene clusters are established and gene extraction is performed separately, and social media genetic maps are constructed and passed. The social media genetic map uniquely identifies the user entity preferences for information recommendation.【Result/conclusion】The information recommendation model based on social media gene map was constructed. The influence of the user's internal and information environment on the gene map was considered, and the model was optimized to provide users with more accurate information recommendation content.【Innova⁃tion/limitation】Gene mutation cannot be accurately estimated and controlled, so we need to further study the factors and direction of gene mutation, and construct the gene map of social media for individual users more efficiently and accurately through the replicability of gene, so as to realize its application in the field of information recommendation.