SmartNews: Towards content-sensitive ranking of comments
نویسندگان
چکیده
Various news sites exist today where internet users can read the most recent news and people’s opinions about. However, usually these sites do not organize comments well and do not filter irrelevant content. Due to this limitation, readers who wonder about people’s opinion regarding some specific topic, have to manually follow relevant comments, reading and filtering a lot of irrelevant text. In this work1, we introduce a publicly available software implementing our approach, previously introduced in (Litvak and Matz, 2013), for retrieving and ranking the relevant comments for a given paragraph of news article and vice versa. We use Topic-Sensitive PageRank for ranking comments/paragraphs relevant for a userspecified paragraph/comment.
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SmartNews: Bringing Order into Comments Chaos
Various news sites exist today where internet audience can read the most recent news and see what other people think about. Most sites do not organize comments well and do not filter irrelevant content. Due to this limitation, readers who are interested to know other people’s opinion regarding any specific topic, have to manually follow relevant comments, reading and filtering a lot of irreleva...
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