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Finding prophets in the blogosphere: bloggers who predicted buzzwords before they become popular.

, , , , and . iiWAS, page 15:1-15:10. ACM, (2015)

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Contextual Collaborative Filtering Using Tagging Information., , , and . IMECS, page 964-969. Newswood Limited, (2007)Early detection of buzzwords based on large-scale time-series analysis of blog entries., , , and . HT, page 275-284. ACM, (2012)Recommending Web Advertisements based on Long-Short Term User Interest., , , , , , and . IUI Workshops, volume 2327 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Finding prophets in the blogosphere: bloggers who predicted buzzwords before they become popular., , , , and . iiWAS, page 15:1-15:10. ACM, (2015)Prophetic blogger identification based on buzzword prediction ability., , , , and . IJWIS, 12 (3): 267-291 (2016)Using categorized web browsing history to estimate the user's latent interests for web advertisement recommendation., , , , , , , and . IEEE BigData, page 4429-4434. IEEE Computer Society, (2017)Web advertising recommender system based on estimating users' latent interests., , , , , , and . iiWAS, page 42-49. ACM, (2016)Blog Ranking Based on Bloggers' Knowledge Level for Providing Credible Information., , , , and . WISE, volume 5802 of Lecture Notes in Computer Science, page 227-234. Springer, (2009)Reasonable tag-based collaborative filtering for social tagging systems., , , , , and . WICOW, page 11-18. ACM, (2008)