【摘要】 为帮助考生和家长在高校招生交流社交网络中建立与其他用户之间的关联,更好地使用社交网络服务来获取招考过程中的信息和与其他用户沟通交流,分析了高校招生交流模式和高校招生交流社交网络中的用户类别及其特征信息,设计了综合高校招生交流网络、高校电子校务系统和公共社交网络系统中的用户特征信息、用户关系信息和用户行为信息的关系推荐系统,提出了计算用户特征推荐指数、用户关系推荐指数、用户行为推荐指数和关系推荐指数的算法.更多还原

【Abstract】 To help candidates and their parents establish relations with other users get admission information timely and communicate with them,a relation recommender system for the social network service for admission of collegesand universities is studied.Firstly,the transition of the social network communication model is analyzed.Secondly,the classification and feature of users in the social network service for admission of colleges and universities are described briefly.After that,the relation recommendation system is constructed in terms of its data sources,data processing and data output.Finally,the focus is put on the relation recommendation algorithm which is composed of foursub-algorithms as in user feature recommendation index,user relation recommendation index,user behavior recommendation index and relation recommendation index.更多还原