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Jain-Terkelsen-Hundal Network Based Inference


Creative Fields
Academia
Completion Date
May 13th, 2011



Jain-Terkelsen-Hundal Network-Based Inference (JTH-NBI) is a modification of Zhou et al. (2007) network-based algorithm for the projection of a two mode user-object bipartite graph onto a one mode space.  The resulting object network can be interpreted as a recommendation network, where edges and edge weights signify artist similarity.  From this network, we form recommendation lists for users which suggest objects that a user is most inclined to collect next.  JTH-NBI performs better than the Amazon.com’s industry standard item-based collaborative filtering.  We test JTH-NBI on the MovieLens data set and data from Hulkshare.com.

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