Exploiting Social #-Tagging Behavior in Twitter for Information Filtering and Recommendation.

摘要: We present a ranking approach for Twitter documents that exploits social hashtagging behavior. first map topics of user interest, represented by keywords, to set twitter hashtags we use as query terms retrieve (tweets) based on tf-idf scores, with the additional restrictions retrieved should occur before timestamp. show this simple method performs significantly better than disjunctive baseline topic description.