Abstract: Study of reciprocity helps to find influential factors for users building relationships, which greatly facilitates the social behavior ...
Reciprocal relationship, also named reciprocity, is a special form of interaction between users in directed networks, like the trust network. It has been shown ...
Time-aware reciprocity prediction in trust network | Semantic Scholar
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This work redefines the reciprocity prediction problem as a learning task specific to each pair of users with different reciprocal delays, ...
Oct 22, 2024 · This article is the first work in the literature employing time-aware matrix factorization and propagated trust in the study of similarity.
Missing: reciprocity | Show results with:reciprocity
Time-aware reciprocity prediction in trust network. X Feng, J Zhao, Z Fang, K Xu. Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM …, ...
Mar 21, 2020 · In this dissertation, we analyse the state-of-the-art in pair-wise trust prediction models in OSNs. We discuss three main challenges in this domain.
Missing: reciprocity | Show results with:reciprocity
Dec 9, 2024 · In this work, we review existing works in this field and present the most prominent techniques and algorithms that have the ability to capture ...
Second, unlike trust, reciprocity depends on mutual interaction (concerning referrals, estimated expertise levels and skill com- plementarities in each agents ...
Time-aware reciprocity prediction in trust network. X Feng, J Zhao, Z Fang, K Xu. 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014.
Mar 1, 2023 · We develop a method for predicting the trust scores of LBSN users and propose a trust-aware recommendation technique, TLoRW, to recommend locations to users.
Missing: reciprocity | Show results with:reciprocity