Targeted Advertising Technology For Wireless Router

With popularity of smart phones and mobile network communication technology,people's demand for real-time Internet access is increasing rapidly.Due to communications costs is very expensive,they want many public spaces to provider free WIFI access,but it is extremely hard to be popluar because of the poor user experience and high facility costs.Some manufacturers proposed the wireless advertising router.When user connect their WIFI,an advertisement will be shown for a few seconds,after that we should may need to provider our phone number or social accounts to register.Then we can use the Internet.This approach has obvious drawbacks: First,we pop-up the advertisement to user at a wrong time by forcing users to see the advertisement,which causes the user's resentment;This way requires users to provide too much personal information,the registration process cumbersome;in addition the method provides only a simple advertising function,generally a shop only has one router,and covered user is limited,which has bad advertising effect.At the same time the user is force to accept these ads as they need to access Internet,this results in a poor user experience.To solve above problem,in this paper we propose a new method.By using a new advertising platform,users do not need cumbersome connection process to access free WIFI.And using the advertising recommendation algorithm based wireless router,it is designed to make a decision as people go to a new place for shopping.It mainly consider the local people's consumption interest as well as the consumption hot spot in the area.We split the space according to wireless coverage.We mainly take consideration of the people in local area,which improve the algorithm efficiency;Then we consider the transience of local hot spots,so we use time attenuation factor when we calculate user preference model which can update the model timely;The system can use the recommendation results and the prices to find the final results and return them to user with the consideration of platform profits.After that,we discuss the performance improvment when we use big data technology.The experimental results show that the system can process big volume data effectively.Moreover,the algorithm is both effective and efficient.At last we talk about how to charge the advertiser for advertising presentation and the applied value in the market.