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KDD
2009
ACM
223views Data Mining» more  KDD 2009»
15 years 10 months ago
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Yehuda Koren
80
Voted
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 4 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 2 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
KDD
2009
ACM
228views Data Mining» more  KDD 2009»
15 years 10 months ago
A generalized Co-HITS algorithm and its application to bipartite graphs
Recently many data types arising from data mining and Web search applications can be modeled as bipartite graphs. Examples include queries and URLs in query logs, and authors and ...
Hongbo Deng, Michael R. Lyu, Irwin King
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
15 years 10 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi