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IPM
2010
157views more  IPM 2010»
13 years 6 months ago
Personalization of tagging systems
Social media systems have encouraged end user participation in the Internet, for the purpose of storing and distributing Internet content, sharing opinions and maintaining relatio...
Jun Wang, Maarten Clements, Jie Yang, Arjen P. de ...
CIKM
2004
Springer
14 years 27 days ago
Local methods for estimating pagerank values
The Google search engine uses a method called PageRank, together with term-based and other ranking techniques, to order search results returned to the user. PageRank uses link ana...
Yen-Yu Chen, Qingqing Gan, Torsten Suel
IPM
2007
156views more  IPM 2007»
13 years 7 months ago
p2pDating: Real life inspired semantic overlay networks for Web search
We consider a network of autonomous peers forming a logically global but physically distributed search engine, where every peer has its own local collection generated by independe...
Josiane Xavier Parreira, Sebastian Michel, Gerhard...
WWW
2007
ACM
14 years 8 months ago
Dynamic personalized pagerank in entity-relation graphs
Extractors and taggers turn unstructured text into entityrelation (ER) graphs where nodes are entities (email, paper, person, conference, company) and edges are relations (wrote, ...
Soumen Chakrabarti
WWW
2010
ACM
13 years 7 months ago
SNDocRank: document ranking based on social networks
To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...