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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 1 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
16 years 1 months ago
Discovering topical structures of databases
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
Wensheng Wu, Berthold Reinwald, Yannis Sismanis, R...
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
15 years 10 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
WSDM
2010
ACM
236views Data Mining» more  WSDM 2010»
15 years 10 months ago
Personalized Click Prediction in Sponsored Search
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users click on ads is crucial to sponsor...
Erick Cantú-Paz, Haibin Cheng
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 10 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme