Accuracy estimate and optimization techniques for SimRank computation
Proceedings of the VLDB Endowment
Intelligent hybrid approach to false identity detection
Proceedings of the 12th International Conference on Artificial Intelligence and Law
P-Rank: a comprehensive structural similarity measure over information networks
Proceedings of the 18th ACM conference on Information and knowledge management
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching
Proceedings of the 18th ACM conference on Information and knowledge management
Semi-supervised OWA aggregation for link-based similarity evaluation and alias detection
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Accuracy estimate and optimization techniques for SimRank computation
The VLDB Journal — The International Journal on Very Large Data Bases
Disclosing false identity through hybrid link analysis
Artificial Intelligence and Law
Enhance web pages genre identification using neighboring pages
WISE'11 Proceedings of the 12th international conference on Web information system engineering
E-rank: A Structural-Based Similarity Measure in Social Networks
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Scalable and axiomatic ranking of network role similarity
ACM Transactions on Knowledge Discovery from Data (TKDD) - Casin special issue
| Hi-index | 0.06 |
The requirement for measuring the similarity between web pages arises in many applications on the Web, such as web searching engine and web document classification. According to the unique characteristics of the Web, which are huge, rapidly growing, high dynamic, and untrustworthy, we propose a novel link-based similarity measure called PageSim. Based on the strategy of PageRank score propagation, PageSim is efficient, scalable, stable, and "fairly" robust, and therefore is applicable to the Web. We present intuitions behind the PageSim model, and outline the model with mathematical definitions. We also suggest the pruning technique for efficient computation of PageSim scores, and conduct experiments to illustrate the effectiveness and specialities of PageSim.