基于社交媒体基因图谱的信息服务推荐研究

Information Services Recommendation Based on Social Media Gene Atlas

【目的/意义】“信息过载”问题不利于用户快速准确获取目标信息,本文提出构建社交媒体基因图谱并应用于信息推荐领域,为用户信息推荐提供新思路。【目的/意义】本文将社交媒体分解为社交媒体用户和社交信息内容两大主体部分,借助生物学基因图谱概念,建立两大主体基因群并分别进行基因提取,构建社交媒体基因图谱,并通过社交媒体基因图谱唯一辨识用户实体偏好进行信息推荐。【结果/结论】构建基于社交媒体基因图谱的信息推荐模型,考虑用户内部及信息环境对基因图谱的影响,进行模型优化,为用户提供更加精准的信息推荐内容。【创新/局限】基因的变异无法准确预估和控制,需要进一步研究引起基因变异的因素及变异方向,通过基因的可复制性更加高效准确地对个人用户社交媒体基因图谱进行构建,进而实现其在信息推荐领域的应用。

【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:social 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.【Innovation/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.