基于推荐算法的去中心化社交平台设计与实现

北京理工大学珠海学院2020届本科生毕业设计The Design and Implementation of a Decentralized Social PlatformBased on Recommendation AlgorithmAbstractIn recent years,with the rapid development of information technology,numerous Internetproducts have been derived,and various social networking platforms have become an inseparablepart of people's daily lives.Most of the less competitive social platforms have gradually disappearfrom the historical arena due to today's fierce market competition.However,many traditionalsocial platforms that have survived to become unicorns after absorbed a large number of users,they prefer integrating more and more advertisements or even introducing celebrities to absorbmore users because of the business model.This model tends to ignore the personal preferencesand interests of many users.Over time,it may cause the user's platform stickiness to decrease.Nevertheless,by introducing a recommendation algorithm,users on social platforms can screenout the contents they are interested in,thereby increasing their viscosity on social platforms.Thisdesign applies the collaborative filtering recommendation algorithm to a new social platform,which is changing the old model like being full of many so-called 'the big V'in centric socialmodel and prefers the law of big flow.For building a personalized social platform,the designprefers to focus on the user's personal preferences,removing some parts of the centralizationeffect,thereby enhancing users'viscosity and favorability.This design combines Node.jsExpress Vue.js and JavaScript language to build,using VsCode development platform and clouddatabase MongoDB Atlas to implement a decentralized social platform based on recommendationalgorithm.Keywords:recommendation algorithm;collaborative filtering;personalized social