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ACL
2009
14 years 9 months ago
Answering Opinion Questions with Random Walks on Graphs
Opinion Question Answering (Opinion QA), which aims to find the authors' sentimental opinions on a specific target, is more challenging than traditional factbased question an...
Fangtao Li, Yang Tang, Minlie Huang, Xiaoyan Zhu
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
16 years 5 days 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
SIAMDM
2010
114views more  SIAMDM 2010»
14 years 10 months ago
Rank-Based Attachment Leads to Power Law Graphs
Abstract. We investigate the degree distribution resulting from graph generation models based on rank-based attachment. In rank-based attachment, all vertices are ranked according ...
Jeannette Janssen, Pawel Pralat
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
15 years 4 months ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
FQAS
2009
Springer
127views Database» more  FQAS 2009»
15 years 6 months ago
Finding Top-k Approximate Answers to Path Queries
We consider the problem of finding and ranking paths in semistructured data without necessarily knowing its full structure. The query language we adopt comprises conjunctions of r...
Carlos A. Hurtado, Alexandra Poulovassilis, Peter ...