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CORR
2010
Springer
177views Education» more  CORR 2010»
13 years 5 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
ASUNAM
2010
IEEE
13 years 6 months ago
A Unified Framework for Link Recommendation Using Random Walks
The phenomenal success of social networking sites, such as Facebook, Twitter and LinkedIn, has revolutionized the way people communicate. This paradigm has attracted the attention ...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
WWW
2010
ACM
13 years 5 months ago
LINKREC: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 5 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
WWW
2008
ACM
14 years 5 months ago
Trust-based recommendation systems: an axiomatic approach
High-quality, personalized recommendations are a key feature in many online systems. Since these systems often have explicit knowledge of social network structures, the recommenda...
Reid Andersen, Christian Borgs, Jennifer T. Chayes...