arXiv Open Access 2016

SibRank: Signed Bipartite Network Analysis for Neighbor-based Collaborative Ranking

Bita Shams Saman Haratizadeh

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Abstrak

Collaborative ranking is an emerging field of recommender systems that utilizes users' preference data rather than rating values. Unfortunately, neighbor-based collaborative ranking has gained little attention despite its more flexibility and justifiability. This paper proposes a novel framework, called SibRank that seeks to improve the state of the art neighbor-based collaborative ranking methods. SibRank represents users' preferences as a signed bipartite network, and finds similar users, through a novel personalized ranking algorithm in signed networks.

Topik & Kata Kunci

cs.SI

Penulis (2)

Bita Shams

Saman Haratizadeh

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Shams, B., Haratizadeh, S. (2016). SibRank: Signed Bipartite Network Analysis for Neighbor-based Collaborative Ranking. https://arxiv.org/abs/1601.05575

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Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓