The Design And Implementation Of Highway Freight Forums And Post Recommendation System

In recent years,the integration of highway freight industry and Internet technology has accelerated the digitization and informatization construction process of highway freight industry.As a company engaged in intelligent cargo scheduling,X company provides online delivery service for shippers and online goods finding service for drivers.Using Internet technology can facilitate faster,more efficient and fairer transactions between shippers and drivers.With the rapid increase of platform users,it is urgent to build a service that can promote the communication among drivers in the industry to improve the user experience of the platform and increase the dependence of the platform for the driver.As a platform integrating information release,chat and discussion,forums can provide information release function for highway freight APP.It can also provide a platform with the function of communicating within the industry for drivers and users to promote the communication among drivers and connect each isolated driver in the network.This thesis designs and implements the highway freight forums.It provides post search,post browsing and post management services for drivers and users on the App end,and information management,post management and user management services for administrators on the Web end.To aims at the problem that traditional forums recommendation cannot make good use of user information to make personalized recommendation.A method of detail page recommendation based on user historical behavior information is proposed.The recommendation algorithm based on user behavior sequence modeling proposed in this thesis is based on the decomposition of probability matrix and introduces both document features and user behavior sequence features.Use CNN to extract the text features of posts,and by treating posts that a user browses over a period of time as a Session,the GRU is used to process posts in that Session as a sequence of user behavior characteristics.Then the probability matrix decomposition algorithm is used to calculate the similarity between the sequence features of user behaviors and the features of posts for personalized recommendation of detail pages.The main work of this thesis is to study the background of forums based on personalized recommendation.The research status and progress of personalized recommendation are described.The theory of recommendation method based on user behavior sequence is introduced.Forums requirements and system design scheme for highway freight is analyzed and designed.Road freight forums is developed and tested.