Features

The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. For the first time KDD will leave America and come to Europe. KDD-09 will be held in Paris, France, from June 28th to July 1st and will feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.

Here are KDD-09 Best Papers. The awards will be presented in Paris at KDD-09.

Best Research Paper Award:

Winner: Collaborative Filtering with Temporal Dynamics, by Yehuda Koren

Abstract: Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are evolving, leading them to ever redefine their taste. Thus, modeling temporal dynamics should be a key when designing recommender systems or general customer preference models. However, this raises unique challenges.

Runner up: A LRT Framework for Fast Spatial Anomaly Detection,
by Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums

Best Application Paper Award:
Winner: Large-Scale Behavioral Targeting,
by Ye Chen, Dmitry Pavlov, John Canny

Abstract: Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression model from fine-grained user behavioral data and predicts click-through rate (CTR) from user history. We designed and implemented a highly scalable and efficient solution to BT using Hadoop MapReduce framework. With our parallel algorithm and the resulting system, we can build above 450 BT-category models from the entire Yahoo's user base within one day, the scale that one can not even imagine with prior systems. Moreover, our approach has yielded 20% CTR lift over the existing production system by leveraging the well-grounded probabilistic model fitted from a much larger training dataset.

Runner up: Sustainable Operation and Management of Data Center Chillers using Temporal Data Mining,
by Debprakash Patnaiky, Manish Marwah, Ratnesh Sharma, Naren Ramakrishnany

Best Student Paper Award:
Winner: Anonymizing Healthcare Data: A Case Study on the Blood Transfusion Service,
by Noman Mohammed, Benjamin C. M. Fung, Patrick C. K. Hung, Cheuk-kwong Lee

Abstract: Sharing healthcare data has become a vital requirement in healthcare system management; however, inappropriate sharing and usage of healthcare data could threaten patients' privacy. In this paper, we study the privacy concerns of the blood transfusion information-sharing system between the Hong Kong Red Cross and public hospitals, and identify the major challenges that make traditional data anonymization methods not applicable. Furthermore, we propose a new privacy model called LKC-privacy,

Runner up: Optimizing Web Traffic via the Media Scheduling Problem, by
Lars Backstrom, Jon Kleinberg, Ravi Kumar