Hybrid similarities for dynamic interaction recommendation

Xin-Ling Dong
Xin-Ling Dong
Shuang-Bo Sun
Shuang-Bo Sun

ICMLC, pp. 433-438, 2016.

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Abstract:

Similarity metric is the core of k-nearest neighbor collaborative filtering in recommender systems. However, traditional metrics measure the similarity among neighbors only in either direction or distance. In this paper, we propose a triangle similarity metric and two kinds of hybrid ones based on it for dynamic interaction recommendation...More

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