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KDD
2006
ACM
200views Data Mining» more  KDD 2006»
14 years 6 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini
UIC
2010
Springer
13 years 3 months ago
Smart Itinerary Recommendation Based on User-Generated GPS Trajectories
Traveling to unfamiliar regions require a significant effort from novice travelers to plan where to go within a limited duration. In this paper, we propose a smart recommendation...
Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo
ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
13 years 3 months ago
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou
BPM
2006
Springer
166views Business» more  BPM 2006»
13 years 9 months ago
Process Mining by Measuring Process Block Similarity
Mining, discovering, and integrating process-oriented services has attracted growing attention in the recent year. Workflow precedence graph and workflow block structures are two i...
Joonsoo Bae, James Caverlee, Ling Liu, Hua Yan
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 9 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...