SibRank: Signed bipartite network analysis for neighbor-based collaborative ranking

Bita Shams and Saman Haratizadeh

Physica A: Statistical Mechanics and its Applications, 2016, vol. 458, issue C, 364-377

Abstract: 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.

Keywords: Recommender system; Collaborative ranking; Signed network; Similarity measure; Preference data; Personalized ranking (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:458:y:2016:i:c:p:364-377

DOI: 10.1016/j.physa.2016.04.025

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