关键词: 用户兴趣模型, 自组织映射, 成长型单元结构, 神经网络, 推荐系统

Abstract: To address diversity and changeability of user interests in current user interest modeling method, a user interest modeling method based on the Dynamic Self-Organizing Map (DSOM) neural network was constructed. This method mapped the process of user interests modeling into a clustering and cluster-maintenance process. Users' interests were aggregated as different information categories, and each cluster represented an interest category of the user. Changes of user interests were depicted by neural cell weight adjustment, new cell insertion and invalid cell deletion. A threshold-controlled trigger rule for insertion and deletion was used to update the user interest model in a real-time and reliable mode. A set of experiments were conducted on a benchmark dataset. Results from experiments showed that the DSOM model could provide reasonable clustering performance and high adaptability for accurately keeping track of users′ multiple interests and changes.

Key words: user interest model, self-organizing map, growing cell structures, neural network, recommended system