With　the　rapid　development　of　the　information　technology,　more　and　more　high-speed　networks　came　out.　The　4G　LTE　network　as　a　recently　emerging　network　has　gradually　entered　the　mainstream　of　the　communication　network.　This　paper　proposed　an　effective　content-based　information　filtering　based　on　the　4G　LTE　high-speed　network　by　combing　the　content-based　filter　and　traditional　simple　filter.　Firstly,　raw　information　is　pre-processed　by　five-Tuple　filter.　Secondly,　we　determine　the　topics　and　character　of　the　source　data　by　key　nearest　neighbor　text　classification　after　minimum-risk　Bayesian　classification.　Finally,　the　improved　AdaBoost　algorithm　achieves　the　four-level　content-based　information　filtering.　The　experiments　reveal　that　the　effective　information　filtering　method　can　be　applied　to　the　network　security,　big　data　analysis　and　other　fields.　It　has　high　research　value　and　market　value.　©　2015　IEEE.