| Summary: | 碩士 === 銘傳大學 === 資訊管理學系碩士班 === 98 === According to the tendency of tours market, in addition to considering preferences, most consumers will consider the suggestion from their friend and family. Most of tourist virtual communities not only eliminate the barrier of space, but also establish a close social network. The core person in community is the important role who manages and connects member, they often have a great influence in community. There are no concrete methods to integrate clustering and social network. This study developed a method to calculate the connections of members, and build a program to analyze the virtual community. The purpose is tried to find out the core person from community, and recommended the appropriate tours through core person. Compare with the top ranking recommendation, to observe the difference between the social network recommendation and top ranking recommendation.
The result revealed that the participation inclination of social network recommendation is significant higher than the participation inclination of top ranking recommendation. We also found that the participation inclination feedback of core person who has stronger connection is significant higher than the participation inclination feedback of core person who has weaker connection.
|
|---|
