A Novel Recommender Method in Collaborative Tagging Systems Based on Time Sensitive Topic Recommendation

摘要：

Recently, collaborative tagging systems have grown in popularity on the web, on sites that allowing users to tag bookmarks, photographs and other contents. Algorithms based on tags have applied in many recommender systems, for tags represent both the contents of items and comprehension of users to items. Based on our experiments, we discover that users interests are fall into many topics and change along with time variation. In this paper, we propose a new method based on topic recommendation, also we consider the time issue into incorporating with users interests change. The dataset used in the experiments are extracted from the popular bookmark site Delicious, moreover, we adopt a novel measure to the method used in the research. The result demonstrated that the new algorithm is very effective.

关键词： recommender tagging topic delicious

作者: Yue Teng Xin Lin Liang He YouBing Lu

作者单位: Department of Science and Technology, East China Normal University Shanghai, China Meteorology Information Technology & Security Nanjing University of Information Science & Technology

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)

会议地点: 成都

会议语种:英文

页码: 21-25

在线出版日期: 2011-01-14（万方平台首次上网日期，不代表论文的发表时间）