Research Of Digital Signage Advertising Recommendation Based On GIS Platform

Digital signage,a new advertising medium,appears in people daily life more and more frequently.And other advertising media cannot replace it.However,digital signage locationg and advertising use offline manual decisions.its the virtue of experience.This approach has the disadvantage of based on insufficient and inefficient,and seriously hindered the development of numerous signage advertising.In light of this,this paper studied combined with targeted advertising concepts and locations recommended logarithmic signage advertising and facility location technology,research in the academic and production of some reference value.This work as follows:1.Comparative analysis of the digital signage advertising media development with other advertising media.Reviews algorithm of the targeted advertising,location-based recommendations and location.2.Comparative analysis of the digital signage recommendations involved and subject and its key features.Research of the POI recommendation algorithms,algorithm for facility location and space technology.Digital signage study recommended framework is proposed.3.Proposed POI recommendation models with location-based ads featured.For digital signage featured issues of interest is improved geographical models featured model of an embedded matrix decomposition points of interest(Geo MF),the basis for the recommended model adds to the socio-economic data,increase the credibility of recommended digital signage.4.Proposed facilities location models based on socioeconomic characteristics.Improved site selection problem of maximum availability for digital signage covering location model(MALP),proposed plots(demand)the heat problem and block defines the heat changes,more in line with the actual conditions of location of digital signage.5.Combined with GIS(Geographic Information System)technology to build a digital signage advertising the results show.Complete the design of data storage,and details the release and calls to the Web service.Recommended sites show the results of the final platform.