Study and implementation of personalized retrieve subsystem in Internet resource monitoring system for tourism

Nowadys, there are a wide variety of tourism resources on the Internet and tourism management administrations need to monitor these resources. At the same time, visitors also need to retrieve their own personalized and interested information, and it will take a lot of time and effort. In this thesis, the Internet tourism resource monitoring system has been researched and implemented. The main work is as follows: Propose a modified aRocchio algorithm to compute personal characteristics matrix and compare it with original Rocchio algorithm. We propose mixed feature matching algorithm and devise a modified I-PageRank algorithm to sort the results. Experimental results show that the proposed algorithms can greatly improve the performance of system´s retrieve results.