A temporal Microblog filtering model

作者：Han Zhongyuan; Yang Muyun; Kong Leilei; Qi Haoliang; Li Sheng

来源：International Journal of Grid and Distributed Computing, 2016, 9(1): 89-98.

DOI：10.14257/ijgdc.2016.9.1.09

• Filtering models
• Language model
• Micro-blog
• Micro-blog filtering
• Microblogging
• Real time filtering
• Retrieval models
• Similarity threshold

The rapid growth in the popularity of social networking and microblogging has led to a new way of finding and broadcasting information in the recent years. The real-time microblog filtering emerges as the times require. The task of real-time microblog filtering is to decide if subsequently posted tweets are relevant to a given query which represents the special information needs. One-side feedback is one of the most difficult problems in microblog filtering. This paper focuses on exploiting the time profile of relevant microblogs to address this problem. A temporal microblog filtering based on retrieval model is proposed. Specifically, similarity threshold achieved by the language model is adjusted according to temporal burst. Evaluated on the TREC 2012 microblog real-time filtering track dataset, the experimental results show that the proposed model is significantly better than several baselines.

• 出版日期2016