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» Mining Web Graphs for Recommendations
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WWW
2008
ACM
16 years 13 days ago
Measuring extremal dependencies in web graphs
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
Yana Volkovich, Nelly Litvak, Bert Zwart
SIGIR
2009
ACM
15 years 6 months ago
On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
CORR
2010
Springer
177views Education» more  CORR 2010»
14 years 12 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
PKDD
2009
Springer
269views Data Mining» more  PKDD 2009»
15 years 6 months ago
Enhanced Web Page Content Visualization with Firefox
This paper aims at presenting how natural language processing and machine learning techniques can help the internet surfer to get a better overview of the pages he is reading. The ...
Lorand Dali, Delia Rusu, Dunja Mladenic
89
Voted
PAKDD
2009
ACM
135views Data Mining» more  PAKDD 2009»
15 years 6 months ago
On Mining Rating Dependencies in Online Collaborative Rating Networks
The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of o...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang