Research And Implementation Of E-Business Recommendation System Based On Hive

Nowadays,both data makers and data collectors have faced with unprecedented challenges,which is an era of data.As for data makers,it is difficult to make the outside catch the exposed information quickly and also very hard for data collectors to get the something interested from the Mass data.Under the background of internet,it will be easy for e-commerce platform to publish goods as the low cost of itself.E-commerce platform will sell more goods than ordinary retailing in the long run.It is obviously that the data has seen the explosive growth.And raising the GMV is the trend of the future,which needs to combine the behavior analysis of user to recommend them personalized products.Thus providing different personalized services based on the intelligent and personalized recommendation system.Actually,the essence of the commendation system is to focus on the connection between users and information,by which the useful information can be found and the data can be shown to the users.I t is a win-win result.The paper focus on the application of personalized recommendation on ecommerce platform,which mainly includes the following research aspects:Firstly,it adopts the distributed platform to obtain big data of user behavior and pursues the personalized recommendation based on key factors such as base data,sketch data,sale data and item transporting of user.Secondly,It introduces a personalized parameter model which can be adjusted continuously.The backstage of recommendation system supports the adjustment of order and category of goods.It also supports the Black and White list to participate in the sorting of accessories.Thirdly,It proposes the personalized recommendation rules of users in three states,namely logon system users,tourist users,and first-time logged-in users.The users adopt the big data platform to recommend data.Visitor users adopt default sort order of data and the first logon user adopts the default sort order of current hot data.Based on e-commerce platform,the paper verifies the personalized recommendation system on big data platform.It proves that combining the personalized recommendation system and the distributed data analysis platform contributes to the significant improvement of conversion and GMV.