Abstract: A method for making an online content recommendation. In one embodiment, the method includes the steps of: providing a plurality of data source modules having data; providing a plurality of function modules, each function module adapted to be connected to at least one of the plurality of data source modules and other function modules; receiving a recommendation request; dynamically connecting at least one of the plurality of the data source modules and at least one of the plurality of function modules in response to the recommendation request; and generating the recommendation by using the connected at least one data source module and the at least one function module.

Abstract: A method for detecting click fraud. In one embodiment, the method includes the steps of: directing a user to an item but delaying the internal ratings update of the item; collecting data to build a model of the user; building the model of the user in response to the collected data; determining the trustworthiness of the user in response to the model of the user; and updating internal ratings of the item in response to the trustworthiness of the user. In various embodiments, the click fraud can be the inflation of advertisement clicks, the inflation of popularity or the inflation of reputation.