Integrating Triangle and Jaccard similarities for recommendation

Shuang-Bo Sun
Shuang-Bo Sun
Zhi-Heng Zhang
Zhi-Heng Zhang
Xin-Ling Dong
Xin-Ling Dong
Tong-Jun Li
Tong-Jun Li
Lin Zhang
Lin Zhang

PloS one, Volume 12, Issue 8, 2017, Pages e0183570-e0183570.

Cited by: 2|Bibtex|Views2|Links
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Abstract:

This paper proposes a new measure for recommendation through integrating Triangle and Jaccard similarities. The Triangle similarity considers both the length and the angle of rating vectors between them, while the Jaccard similarity considers non co-rating users. We compare the new similarity measure with eight state-of-the-art ones on fo...More

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