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Many recommendation services rank contents based on its actual content relevance (not just on likes/retweets). For instance, Prismatic (http://getprismatic.com
by instoftech 12y ago
Many recommendation services rank contents based on its actual content relevance (not just on likes/retweets). For instance, Prismatic (http://getprismatic.com http://getprismatic.com) used clustering to group contents of similar topics, which does pairwise comparison between documents (as you mentioned).