Multi-Instance learning provides a new way to the mining of Chinese web pages. In this paper, a particular web mining task, i.e. Chinese web index page recommendation, is presented and then addressed through transforming it to a multi-instance learning problem. Experiments on the real world dataset show that the proposed method is an effective solution to the Chinese web index page recommendation problem.