Fast NLP-based Pattern Matching in Real Time Tweet Recommendation

Zheng Gao, John Wolohan
2017 Text Retrieval Conference  
Social media users are willing to obtain information from online social streaming services. Everyday people receive news notifications from mobile devices and figure out information which are new and interesting to them. Therefore, it is necessary to learn a recommendation mechanism to see how to attract users attention most by providing most useful news or information to them. This year, TREC (Text REtrieval Conference) offers a Real Time Summarization track to explore online user reading
more » ... rence on Twitter, one of the largest social media platform so far, to figure out recommendation patterns best suitable for users.
dblp:conf/trec/GaoW17 fatcat:ixs7ixyehjel3h7klkxwz44qji