Hideaki Takeda's Publication

• M. Hamasaki and H. Takeda: Find better friends? -- Re-configuration of personal networks by the neighborhood matchmaker method --, in Proceedings of the International Workshop on Semantic Web Foundations and Application Technologies (SWFAT), pp. 73–76 (2003). (Paper)

  In this paper, we propose Neighborhood Matchmaker Method as a re-configration method for personal human network. Personal human network is important to realize the Semantic web because trust should be obtained and used with the personal network. Since a personal network is usually adhoc network, it is necessary to extend and optimize it. Using the neighborhood matchmaker model, we can increase a new fried who is expected to share interests via all own neighborhoods on the personal human network. Iteration of matchmaking is used to optimize personal human networks. We simulate the neighborhood matchmaker model with the real data and the virtual data and compare the results by our model with those by the central server model. The neighborhood matchmaker model can reach almost the same results obtained by the sever model with each type of data.