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RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement.

, , , and . AAAI (Late-Breaking Developments), volume WS-13-17 of AAAI Technical Report, AAAI, (2013)

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Disulphide Connectivity Prediction in Proteins Based on Secondary Structures and Cysteine Separation.. CAINE, page 135-140. ISCA, (2005)SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement., and . WWW, page 227-236. ACM, (2011)Trust and Profit Sensitive Ranking for the Deep Web and On-line Advertisements.. Arizona State University, Tempe, USA, (2012)base-search.net (ftarizonastateun:item:15153).Agreement Based Source Selection for the Multi-Domain Deep Web Integration., , and . COMAD, page 79-90. Allied Publishers, (2011)Optimal Ad-Ranking for Profit Maximization., and . WebDB, (2008)Helping satisfy multiple objectives during a service desk conversation., , , and . SIGMOD Conference, page 1147-1158. ACM, (2008)RAProp: ranking tweets by exploiting the tweet/user/web ecosystem and inter-tweet agreement., , , and . CIKM, page 2345-2350. ACM, (2013)SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement., and . WWW, page 1055-1056. ACM, (2010)Real-time bid optimization for group-buying ads., and . CIKM, page 1707-1711. ACM, (2012)Real-Time Bid Optimization for Group-Buying Ads., and . ACM TIST, 5 (4): 62:1-62:21 (2014)