A study on personalized web service promotion

The core of network station is to construct a web service or portal for visitors' visited The personalized web service (or personalized portal) is the most of information transfer between the modem economic or personal activities. We introduced the adjusted FP-Tree algorithm of the web usage mining technique of web miming, combination the association rule of data mining and the maximal trip traversal references, to construct the most browsed routines model (MBRM) with the analysis of the frequent paths of visitors' behavior. The conclusions are that the MBRM could be introduced from the web mining and could be used to find the more powerful browsed routines for the visitors of a network station. After the new routines system was re-arranged, then the efficiency network station could be promoted the visitors browsed. To prove the practical suing, we chose the log file of the ADHC network station in Taiwan as an example.